Network security Books

Book SynopsisGet to grips with cloud exploits, learn the fundamentals of cloud security, and secure your organization’s network by pentesting AWS, Azure, and GCP effectively Key Features Discover how enterprises use AWS, Azure, and GCP as well as the applications and services unique to each platform Understand the key principles of successful pentesting and its application to cloud networks, DevOps, and containerized networks (Docker and Kubernetes) Get acquainted with the penetration testing tools and security measures specific to each platform Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionWith AWS, Azure, and GCP gaining prominence, mastering their unique features, ecosystems, and penetration testing protocols has become an indispensable skill, which is precisely what this pentesting guide for cloud platforms will help you achieve. As you navigate through the chapters, you’ll explore the intricacies of cloud security testing and gain valuable insights into how pentesters and red teamers evaluate cloud environments effectively. In addition to its coverage of these cloud platforms, the book also guides you through modern methodologies for testing containerization technologies such as Docker and Kubernetes, which are fast becoming staples in the cloud ecosystem. Additionally, it places extended focus on penetration testing AWS, Azure, and GCP through serverless applications and specialized tools. These sections will equip you with the tactics and tools necessary to exploit vulnerabilities specific to serverless architecture, thus providing a more rounded skill set. By the end of this cloud security book, you’ll not only have a comprehensive understanding of the standard approaches to cloud penetration testing but will also be proficient in identifying and mitigating vulnerabilities that are unique to cloud environments.What you will learn Familiarize yourself with the evolution of cloud networks Navigate and secure complex environments that use more than one cloud service Conduct vulnerability assessments to identify weak points in cloud configurations Secure your cloud infrastructure by learning about common cyber attack techniques Explore various strategies to successfully counter complex cloud attacks Delve into the most common AWS, Azure, and GCP services and their applications for businesses Understand the collaboration between red teamers, cloud administrators, and other stakeholders for cloud pentesting Who this book is forThis book is for pentesters, aspiring pentesters, and red team members seeking specialized skills for leading cloud platforms—AWS, Azure, and GCP. Those working in defensive security roles will also find this book useful to extend their cloud security skills.Table of ContentsTable of Contents How Do Enterprises Utilize and Implement Cloud Networks? How Are Cloud Networks Cyber Attacked? Key Concepts for Pentesting Today’s Cloud Networks Security Features in AWS Pentesting AWS Features through Serverless Applications and Tools Pentesting Containerized Applications in AWS Security Features in Azure Pentesting Azure Features through Serverless Applications and Tools Pentesting Containerized Applications in Azure Security Features in GCP Pentesting GCP Features through Serverless Applications and Tools Pentesting Containerized Applications in GCP Best Practices and Summary

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Book SynopsisLearn how to build a cybersecurity program for a changing world with the help of proven best practices and emerging techniquesKey Features Understand what happens in an attack and build the proper defenses to secure your organization Defend against hacking techniques such as social engineering, phishing, and many more Partner with your end user community by building effective security awareness training programs Book DescriptionSecurity is everyone's responsibility and for any organization, the focus should be to educate their employees about the different types of security attacks and how to ensure that security is not compromised.This cybersecurity book starts by defining the modern security and regulatory landscape, helping you understand the challenges related to human behavior and how attacks take place. You'll then see how to build effective cybersecurity awareness and modern information security programs. Once you've learned about the challenges in securing a modern enterprise, the book will take you through solutions or alternative approaches to overcome those issues and explain the importance of technologies such as cloud access security brokers, identity and access management solutions, and endpoint security platforms. As you advance, you'll discover how automation plays an important role in solving some key challenges and controlling long-term costs while building a maturing program. Toward the end, you'll also find tips and tricks to keep yourself and your loved ones safe from an increasingly dangerous digital world.By the end of this book, you'll have gained a holistic understanding of cybersecurity and how it evolves to meet the challenges of today and tomorrow.What you will learn Understand the macro-implications of cyber attacks Identify malicious users and prevent harm to your organization Find out how ransomware attacks take place Work with emerging techniques for improving security profiles Explore identity and access management and endpoint security Get to grips with building advanced automation models Build effective training programs to protect against hacking techniques Discover best practices to help you and your family stay safe online Who this book is forThis book is for security practitioners, including analysts, engineers, and security leaders, who want to better understand cybersecurity challenges. It is also for beginners who want to get a holistic view of information security to prepare for a career in the cybersecurity field. Business leaders looking to learn about cyber threats and how they can protect their organizations from harm will find this book especially useful. Whether you're a beginner or a seasoned cybersecurity professional, this book has something new for everyone.Table of ContentsTable of Contents Protecting People, Information, and Systems – a Growing Problem The Human Side of Cybersecurity Anatomy of an Attack Protecting People, Information, and Systems with Timeless Best Practices Protecting against Common Attacks by Partnering with End Users Information Security for a Changing World Difficulty Securing the Modern Enterprise (with Solutions!) Harnessing Automation Opportunities Cybersecurity at Home

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Book SynopsisEnhance your skill set to pentest against real-world Microsoft infrastructure with hands-on exercises and by following attack/detect guidelines with OpSec considerations Key Features Find out how to attack real-life Microsoft infrastructure Discover how to detect adversary activities and remediate your environment Apply the knowledge you’ve gained by working on hands-on exercises Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThis book teaches you the tactics and techniques used to attack a Windows-based environment, along with showing you how to detect malicious activities and remediate misconfigurations and vulnerabilities. You’ll begin by deploying your lab, where every technique can be replicated. The chapters help you master every step of the attack kill chain and put new knowledge into practice. You’ll discover how to evade defense of common built-in security mechanisms, such as AMSI, AppLocker, and Sysmon; perform reconnaissance and discovery activities in the domain environment by using common protocols and tools; and harvest domain-wide credentials. You’ll also learn how to move laterally by blending into the environment’s traffic to stay under radar, escalate privileges inside the domain and across the forest, and achieve persistence at the domain level and on the domain controller. Every chapter discusses OpSec considerations for each technique, and you’ll apply this kill chain to perform the security assessment of other Microsoft products and services, such as Exchange, SQL Server, and SCCM. By the end of this book, you'll be able to perform a full-fledged security assessment of the Microsoft environment, detect malicious activity in your network, and guide IT engineers on remediation steps to improve the security posture of the company.What you will learn Understand and adopt the Microsoft infrastructure kill chain methodology Attack Windows services, such as Active Directory, Exchange, WSUS, SCCM, AD CS, and SQL Server Disappear from the defender's eyesight by tampering with defensive capabilities Upskill yourself in offensive OpSec to stay under the radar Find out how to detect adversary activities in your Windows environment Get to grips with the steps needed to remediate misconfigurations Prepare yourself for real-life scenarios by getting hands-on experience with exercises Who this book is forThis book is for pentesters and red teamers, security and IT engineers, as well as blue teamers and incident responders interested in Windows infrastructure security. The book is packed with practical examples, tooling, and attack-defense guidelines to help you assess and improve the security of your real-life environments. To get the most out of this book, you should have basic knowledge of Windows services and Active Directory.Table of ContentsTable of Contents Getting the Lab Ready and Attacking Exchange Server Defense Evasion Domain Reconnaissance and Discovery Credential Access in Domain Lateral Movement in Domain and Across Forests Domain Privilege Escalation Persistence on Domain Level Abusing Active Directory Certificate Services Compromising Microsoft SQL Server Taking over WSUS and SCCM

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Book SynopsisImplement effective cybersecurity strategies to help you and your security team protect, detect, and respond to modern-day threats Purchase of the print or Kindle book includes a free eBook in PDF format. Key Features Protect your organization from cybersecurity threats with field-tested strategies Understand threats such as exploits, malware, internet-based threats, and governments Measure the effectiveness of your organization's current cybersecurity program against modern attackers’ tactics Book DescriptionTim Rains is Microsoft's former Global Chief Security Advisor and Amazon Web Services’ former Global Security Leader for Worldwide Public Sector. He has spent the last two decades advising private and public sector organizations all over the world on cybersecurity strategies. Cybersecurity Threats, Malware Trends, and Strategies, Second Edition builds upon the success of the first edition that has helped so many aspiring CISOs, and cybersecurity professionals understand and develop effective data-driven cybersecurity strategies for their organizations. In this edition, you’ll examine long-term trends in vulnerability disclosures and exploitation, regional differences in malware infections and the socio-economic factors that underpin them, and how ransomware evolved from an obscure threat to the most feared threat in cybersecurity. You’ll also gain valuable insights into the roles that governments play in cybersecurity, including their role as threat actors, and how to mitigate government access to data. The book concludes with a deep dive into modern approaches to cybersecurity using the cloud. By the end of this book, you will have a better understanding of the threat landscape, how to recognize good Cyber Threat Intelligence, and how to measure the effectiveness of your organization's cybersecurity strategy.What you will learn Discover enterprise cybersecurity strategies and the ingredients critical to their success Improve vulnerability management by reducing risks and costs for your organization Mitigate internet-based threats such as drive-by download attacks and malware distribution sites Learn the roles that governments play in cybersecurity and how to mitigate government access to data Weigh the pros and cons of popular cybersecurity strategies such as Zero Trust, the Intrusion Kill Chain, and others Implement and then measure the outcome of a cybersecurity strategy Discover how the cloud can provide better security and compliance capabilities than on-premises IT environments Who this book is forThis book is for anyone who is looking to implement or improve their organization's cybersecurity strategy. This includes Chief Information Security Officers (CISOs), Chief Security Officers (CSOs), compliance and audit professionals, security architects, and cybersecurity professionals. Basic knowledge of Information Technology (IT), software development principles, and cybersecurity concepts is assumed.Table of ContentsTable of Contents Introduction What to Know About Threat Intelligence Using Vulnerability Trends to Reduce Risk and Costs The Evolution of Malware Internet-Based Threats The Roles Governments Play in Cybersecurity Government access to data Ingredients for a Successful Cybersecurity Strategy Cybersecurity Strategies Strategy Implementation Measuring Performance and Effectiveness Modern Approaches to Security and Compliance

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Book SynopsisAlign your SOC with the ATT&CK framework and follow practical examples for successful implementation Purchase of the print or Kindle book includes a free PDF eBook Key Features Understand Cloud, Windows, and Network ATT&CK Framework using different techniques Assess the attack potential and implement frameworks aligned with Mitre ATT&CK Address security gaps to detect and respond to all security threats Book DescriptionThe Mitre ATT&CK framework is an extraordinary resource for all SOC environments, however, determining the appropriate implementation techniques for different use cases can be a daunting task. This book will help you gain an understanding of the current state of your SOC, identify areas for improvement, and then fill the security gaps with appropriate parts of the ATT&CK framework. You’ll learn new techniques to tackle modern security threats and gain tools and knowledge to advance in your career. In this book, you’ll first learn to identify the strengths and weaknesses of your SOC environment, and how ATT&CK can help you improve it. Next, you’ll explore how to implement the framework and use it to fill any security gaps you’ve identified, expediting the process without the need for any external or extra resources. Finally, you’ll get a glimpse into the world of active SOC managers and practitioners using the ATT&CK framework, unlocking their expertise, cautionary tales, best practices, and ways to continuously improve. By the end of this book, you’ll be ready to assess your SOC environment, implement the ATT&CK framework, and advance in your security career.What you will learn Get a deeper understanding of the Mitre ATT&CK Framework Avoid common implementation mistakes and provide maximum value Create efficient detections to align with the framework Implement continuous improvements on detections and review ATT&CK mapping Discover how to optimize SOC environments with automation Review different threat models and their use cases Who this book is forThis book is for SOC managers, security analysts, CISOs, security engineers, or security consultants looking to improve their organization's security posture. Basic knowledge of Mitre ATT&CK, as well as a deep understanding of triage and detections is a must.Table of ContentsTable of Contents SOC Basics – Structure, Personnel, Coverage, and Tools Analyzing Your Environment for Potential Pitfalls Reviewing Different Threat Models What is the ATT&CK Framework? A Deep Dive into the ATT&CK Framework Strategies to Map to ATT&CK Common Mistakes with Implementation Return on Investment Detections What Happens After an Alert is Triggered? Validating Any Mappings and Detections Implementing ATT&CK in All Parts of Your SOC What’s Next? Areas for Innovation in Your SOC

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Book SynopsisWork on 10 practical projects, each with a blueprint for a different machine learning technique, and apply them in the real world to fight against cybercrime Purchase of the print or Kindle book includes a free PDF eBook Key Features Learn how to frame a cyber security problem as a machine learning problem Examine your model for robustness against adversarial machine learning Build your portfolio, enhance your resume, and ace interviews to become a cybersecurity data scientist Book DescriptionMachine learning in security is harder than other domains because of the changing nature and abilities of adversaries, high stakes, and a lack of ground-truth data. This book will prepare machine learning practitioners to effectively handle tasks in the challenging yet exciting cybersecurity space. The book begins by helping you understand how advanced ML algorithms work and shows you practical examples of how they can be applied to security-specific problems with Python – by using open source datasets or instructing you to create your own. In one exercise, you’ll also use GPT 3.5, the secret sauce behind ChatGPT, to generate an artificial dataset of fabricated news. Later, you’ll find out how to apply the expert knowledge and human-in-the-loop decision-making that is necessary in the cybersecurity space. This book is designed to address the lack of proper resources available for individuals interested in transitioning into a data scientist role in cybersecurity. It concludes with case studies, interview questions, and blueprints for four projects that you can use to enhance your portfolio. By the end of this book, you’ll be able to apply machine learning algorithms to detect malware, fake news, deep fakes, and more, along with implementing privacy-preserving machine learning techniques such as differentially private ML.What you will learn Use GNNs to build feature-rich graphs for bot detection and engineer graph-powered embeddings and features Discover how to apply ML techniques in the cybersecurity domain Apply state-of-the-art algorithms such as transformers and GNNs to solve security-related issues Leverage ML to solve modern security issues such as deep fake detection, machine-generated text identification, and stylometric analysis Apply privacy-preserving ML techniques and use differential privacy to protect user data while training ML models Build your own portfolio with end-to-end ML projects for cybersecurity Who this book is forThis book is for machine learning practitioners interested in applying their skills to solve cybersecurity issues. Cybersecurity workers looking to leverage ML methods will also find this book useful. An understanding of the fundamental machine learning concepts and beginner-level knowledge of Python programming are needed to grasp the concepts in this book. Whether you’re a beginner or an experienced professional, this book offers a unique and valuable learning experience that’ll help you develop the skills needed to protect your network and data against the ever-evolving threat landscape.Table of ContentsTable of Contents On Cybersecurity and Machine Learning Detecting Suspicious Activity Malware Detection Using Transformers and BERT Detecting Fake Reviews Detecting Deepfakes Detecting Machine-Generated Text Attributing Authorship and How to Evade it Detecting Fake News with Graph Neural Networks Attacking Models with Adversarial Machine Learning Protecting User Privacy with Differential Privacy Protecting User Privacy with Federated Machine Learning Breaking into the Sec-ML Industry

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Book SynopsisA practical guide to mastering C# and .NET MAUI to build native cross-platform apps with a single codebasePurchase of the print or Kindle book includes a free PDF eBookKey Features Extend your skills to build cross-platform native apps for iOS, Android, Windows, and Mac Learn by working on a real-world project Go beyond MAUI and integrate with the .NET ecosystem Book DescriptionWhile UI plays a pivotal role in retaining users in a highly competitive landscape, maintaining the same UI can be tricky if you use different languages for different platforms, leading to mismatches and un-synced pages. In this book, you'll see how .NET MAUI allows you to create a real-world application that will run natively on different platforms. By building on your C# experience, you'll further learn to create beautiful and engaging UI using XAML, architect a solid app, and discover best practices for this Microsoft platform. The book starts with the fundamentals and quickly moves on to intermediate and advanced topics on laying out your pages, navigating between them, and adding controls to gather and display data. You'll explore the key architectural pattern of Model-View-ViewModel: and ways to leverage it. You'll also use xUnit and NSubstitute to create robust and reliable code.By the end of this book, you'll be well-equipped to leverage .NET MAUI and create an API for your app to interact with a web frontend to the backend data using C#.What you will learn Explore the fundamentals of creating .NET MAUI apps with Visual Studio Understand XAML as the key tool for building your user interface Obtain and display data using layout and controls Discover the MVVM pattern to create robust apps Acquire the skills for storing and retrieving persistent data Use unit testing to ensure your app is solid and reliable Who this book is forLearning .NET MAUI is targeted squarely at C# programmers, whether or not they have experience with cross-platform or mobile applications, who wish to learn Microsoft's premier platform for building iOS, Android, Windows and Mac apps using a single C#-based solution.Table of ContentsTable of Contents Assembling your tools and creating your first app What we will build: Forget Me XAML and Fluent C# Controls Pages and Layout Databinding and the MVVM pattern Navigation and routes Storing and retrieving data Unit Testing with Mocks Custom Controls Creating a back end service and API

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Book SynopsisTake your penetration testing career to the next level by discovering how to set up and exploit cost-effective hacking lab environments on AWS, Azure, and GCP Key Features Explore strategies for managing the complexity, cost, and security of running labs in the cloud Unlock the power of infrastructure as code and generative AI when building complex lab environments Learn how to build pentesting labs that mimic modern environments on AWS, Azure, and GCP Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe significant increase in the number of cloud-related threats and issues has led to a surge in the demand for cloud security professionals. This book will help you set up vulnerable-by-design environments in the cloud to minimize the risks involved while learning all about cloud penetration testing and ethical hacking. This step-by-step guide begins by helping you design and build penetration testing labs that mimic modern cloud environments running on AWS, Azure, and Google Cloud Platform (GCP). Next, you’ll find out how to use infrastructure as code (IaC) solutions to manage a variety of lab environments in the cloud. As you advance, you’ll discover how generative AI tools, such as ChatGPT, can be leveraged to accelerate the preparation of IaC templates and configurations. You’ll also learn how to validate vulnerabilities by exploiting misconfigurations and vulnerabilities using various penetration testing tools and techniques. Finally, you’ll explore several practical strategies for managing the complexity, cost, and risks involved when dealing with penetration testing lab environments in the cloud. By the end of this penetration testing book, you’ll be able to design and build cost-effective vulnerable cloud lab environments where you can experiment and practice different types of attacks and penetration testing techniques.What you will learn Build vulnerable-by-design labs that mimic modern cloud environments Find out how to manage the risks associated with cloud lab environments Use infrastructure as code to automate lab infrastructure deployments Validate vulnerabilities present in penetration testing labs Find out how to manage the costs of running labs on AWS, Azure, and GCP Set up IAM privilege escalation labs for advanced penetration testing Use generative AI tools to generate infrastructure as code templates Import the Kali Linux Generic Cloud Image to the cloud with ease Who this book is forThis book is for security engineers, cloud engineers, and aspiring security professionals who want to learn more about penetration testing and cloud security. Other tech professionals working on advancing their career in cloud security who want to learn how to manage the complexity, costs, and risks associated with building and managing hacking lab environments in the cloud will find this book useful.Table of ContentsTable of Contents Getting Started with Penetration Testing Labs in the Cloud Preparing Our First Vulnerable Cloud Lab Environment Succeeding with Infrastructure as Code Tools and Strategies Setting Up Isolated Penetration Testing Lab Environments on GCP Setting Up Isolated Penetration Testing Lab Environments on Azure Setting Up Isolated Penetration Testing Lab Environments on AWS Setting Up an IAM Privilege Escalation Lab Designing and Building a Vulnerable Active Directory Lab Recommended Strategies and Best Practices

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Book SynopsisGain a firm, practical understanding of securing your network and utilize Python’s packages to detect vulnerabilities in your application Key Features Discover security techniques to protect your network and systems using Python Create scripts in Python to automate security and pentesting tasks Analyze traffic in a network and extract information using Python Book DescriptionPython’s latest updates add numerous libraries that can be used to perform critical security-related missions, including detecting vulnerabilities in web applications, taking care of attacks, and helping to build secure and robust networks that are resilient to them. This fully updated third edition will show you how to make the most of them and improve your security posture. The first part of this book will walk you through Python scripts and libraries that you’ll use throughout the book. Next, you’ll dive deep into the core networking tasks where you will learn how to check a network’s vulnerability using Python security scripting and understand how to check for vulnerabilities in your network – including tasks related to packet sniffing. You’ll also learn how to achieve endpoint protection by leveraging Python packages along with writing forensics scripts. The next part of the book will show you a variety of modern techniques, libraries, and frameworks from the Python ecosystem that will help you extract data from servers and analyze the security in web applications. You’ll take your first steps in extracting data from a domain using OSINT tools and using Python tools to perform forensics tasks. By the end of this book, you will be able to make the most of Python to test the security of your network and applications.What you will learn Program your own tools in Python that can be used in a Network Security process Automate tasks of analysis and extraction of information from servers Detect server vulnerabilities and analyze security in web applications Automate security and pentesting tasks by creating scripts with Python Utilize the ssh-audit tool to check the security in SSH servers Explore WriteHat as a pentesting reports tool written in Python Automate the process of detecting vulnerabilities in applications with tools like Fuxploider Who this book is forThis Python book is for network engineers, system administrators, and other security professionals looking to overcome common networking and security issues using Python. You will also find this book useful if you're an experienced programmer looking to explore Python’s full range of capabilities. A basic understanding of general programming structures as well as familiarity with the Python programming language is a prerequisite.Table of ContentsTable of Contents Working with Python Scripting System Programming Packages Socket Programming HTTP Programming and Web Authentication Analyzing Network Traffic and Packets Sniffing Gathering Information from Servers with OSINT Tools Interacting with FTP, SFTP, and SSH Servers Working with Nmap Scanner Interacting with Vulnerability Scanners Interacting with Server Vulnerabilities in Web Applications Obtain Information from Vulnerabilities Databases Extracting Geolocation and Metadata from Documents, Images, and Browsers Python Tools for Brute-Force Attacks Cryptography and Code Obfuscation Assessments – Answers to the End-of-Chapter Questions

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Book SynopsisExplore the world of practical ethical hacking by developing custom network scanning and remote access tools that will help you test the system security of your organization Key Features Get hands-on with ethical hacking and learn to think like a real-life hacker Build practical ethical hacking tools from scratch with the help of real-world examples Leverage Python 3 to develop malware and modify its complexities Book DescriptionPenetration testing enables you to evaluate the security or strength of a computer system, network, or web application that an attacker can exploit. With this book, you'll understand why Python is one of the fastest-growing programming languages for penetration testing. You'll find out how to harness the power of Python and pentesting to enhance your system security. Developers working with Python will be able to put their knowledge and experience to work with this practical guide. Complete with step-by-step explanations of essential concepts and practical examples, this book takes a hands-on approach to help you build your own pentesting tools for testing the security level of systems and networks. You'll learn how to develop your own ethical hacking tools using Python and explore hacking techniques to exploit vulnerabilities in networks and systems. Finally, you'll be able to get remote access to target systems and networks using the tools you develop and modify as per your own requirements. By the end of this ethical hacking book, you'll have developed the skills needed for building cybersecurity tools and learned how to secure your systems by thinking like a hacker.What you will learn Understand the core concepts of ethical hacking Develop custom hacking tools from scratch to be used for ethical hacking purposes Discover ways to test the cybersecurity of an organization by bypassing protection schemes Develop attack vectors used in real cybersecurity tests Test the system security of an organization or subject by identifying and exploiting its weaknesses Gain and maintain remote access to target systems Find ways to stay undetected on target systems and local networks Who this book is forIf you want to learn ethical hacking by developing your own tools instead of just using the prebuilt tools, this book is for you. A solid understanding of fundamental Python concepts is expected. Some complex Python concepts are explained in the book, but the goal is to teach ethical hacking, not Python.Table of ContentsTable of Contents Introduction and What it means to be a hacker Getting started - Setting up lab environment and tools required Reconnaissance and information gathering Network scanning - Discovering targets Network attacks - Man in the middle attack Malware development - Creating your own malware Advanced malware Post exploitation Protection - How to avoid detection

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Book SynopsisFilled with practical, step-by-step instructions and clear explanations for the most important and useful tasks. This book takes a hands-on approach to Java-based password hashing and authentication, detailing advanced topics in a recipe format.This book is ideal for developers new to user authentication and password security, and who are looking to get a good grounding in how to implement it in a reliable way. It's assumed that the reader will have some experience in Java already, as well as being familiar with the basic idea behind user authentication.

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Book SynopsisThis two-volume set of LNCS 12146 and 12147 constitutes the refereed proceedings of the 18th International Conference on Applied Cryptography and Network Security, ACNS 2020, held in Rome, Italy, in October 2020. The conference was held virtually due to the COVID-19 pandemic. The 46 revised full papers presented were carefully reviewed and selected from 214 submissions. The papers were organized in topical sections named: cryptographic protocols cryptographic primitives, attacks on cryptographic primitives, encryption and signature, blockchain and cryptocurrency, secure multi-party computation, post-quantum cryptography.

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Book SynopsisThis book focuses on the innovation of blockchain technology and the advantages it offers. It provides a clear and comprehensive overview of blockchain technology and its possibilities, and thereby helps readers to form an opinion and draw their own conclusions about its potential exploitations.The book begins with a chapter on the topic of decentralized networks, which familiarizes readers with their challenges by using the example of an online trading platform. Hereinafter, it is then detailed what blockchain technology is, where it comes from, and how it works. The necessary underlying technologies are explained, and various individual approaches as well as their composition are presented. Using well-known examples such as Bitcoin and Ethereum as an illustration, the book looks at the architecture of blockchain technology and focuses on the challenges such as security and scalability. The options available when introducing blockchain technology are also outlined, and best-practice examples are presented to get a better idea of what areas benefit from this technology.Numerous examples and detailed explanations will accompany the readers throughout the book. By the time they have reached the end, they will be able to decide for themselves what is truly innovative about blockchain technology and what is nothing more than hype.Table of Contents​1. Introduction.- 2. What Is Hidden Behind the Term “Blockchain”?.- 3. Technical Basics for a Better Understanding of Blockchain Technology.- 4. Where Does the Hype End, and Where Does the Innovation of Blockchain Technology Begin?.- 5. The Right Use Leads to Success.- 6. Projects and Application Areas of Blockchain Technology.- 7. Summary.

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Book SynopsisHash functions are the cryptographer’s Swiss Army knife. Even though they play an integral part in today’s cryptography, existing textbooks discuss hash functions only in passing and instead often put an emphasis on other primitives like encryption schemes. In this book the authors take a different approach and place hash functions at the center. The result is not only an introduction to the theory of hash functions and the random oracle model but a comprehensive introduction to modern cryptography.After motivating their unique approach, in the first chapter the authors introduce the concepts from computability theory, probability theory, information theory, complexity theory, and information-theoretic security that are required to understand the book content. In Part I they introduce the foundations of hash functions and modern cryptography. They cover a number of schemes, concepts, and proof techniques, including computational security, one-way functions, pseudorandomness and pseudorandom functions, game-based proofs, message authentication codes, encryption schemes, signature schemes, and collision-resistant (hash) functions. In Part II the authors explain the random oracle model, proof techniques used with random oracles, random oracle constructions, and examples of real-world random oracle schemes. They also address the limitations of random oracles and the random oracle controversy, the fact that uninstantiable schemes exist which are provably secure in the random oracle model but which become insecure with any real-world hash function. Finally in Part III the authors focus on constructions of hash functions. This includes a treatment of iterative hash functions and generic attacks against hash functions, constructions of hash functions based on block ciphers and number-theoretic assumptions, a discussion of privately keyed hash functions including a full security proof for HMAC, and a presentation of real-world hash functions.The text is supported with exercises, notes, references, and pointers to further reading, and it is a suitable textbook for undergraduate and graduate students, and researchers of cryptology and information security.Trade Review“The authors put a lot of work to create this 788-page book – the text has been edited even after the layout to insert links with page numbers, there are exercises and a website for errata and discussions.” (Jaak Henno, zbMATH 1490.94001, 2022)“Arno Mittelbach and Marc Fischlin did a good job at producing this book with a collection of ideas on the Theory of Hash Functions and Random Oracles, focusing in-depth on these two areas enabling the student, the practitioner, and the researcher, to deepen their knowledge. The book is a great add-on for a modern cryptography course or for 'light summer reading' for those interested in learning more about these two topics.” (Sven Dietrich, IEEE Cipher, July 20, 2021)Table of ContentsIntroduction.- Preliminaries: Cryptographic Foundations.- Part I: Foundations.- Computational Security.- Pseudorandomness and Computational Indistinguishability.- Collision Resistance.- Encryption Schemes.- Signature Schemes.- Non-cryptographic Hashing.- Part II: The Random Oracle Methodology.- The Random Oracle Model.- The Full Power of Random Oracles.- Random Oracle Schemes in Practice.- Limitations of Random Oracles.- The Random Oracle Controversy.- Part III: Hash Function Constructions.- Iterated Hash Functions.- Constructing Compression Functions.- Iterated Hash Functions in Practice.- Constructions of Keyed Hash Functions.- Constructing Random Oracles: Indifferentiability.- Constructing Random Oracles: UCEs.- Index.

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Book SynopsisThis book constitutes the refereed proceedings of the First International Workshop on Cyber-Physical Security for Critical Infrastructures Protection, CPS4CIP 2020, which was organized in conjunction with the European Symposium on Research in Computer Security, ESORICS 2020, and held online on September 2020.The 14 full papers presented in this volume were carefully reviewed and selected from 24 submissions. They were organized in topical sections named: security threat intelligence; data anomaly detection: predict and prevent; computer vision and dataset for security; security management and governance; and impact propagation and power traffic analysis.The book contains 6 chapters which are available open access under a CC-BY license. Table of ContentsSecurity Threat Intelligence.- Privacy-Preserving CCTV Analytics for Cyber-Physical Threat Intelligence.- TLSAssistant goes FINSEC: A Security Platform Integration Extending Threat Intelligence Language.- Cyber Threat Monitoring Systems - Comparing attack detection performance of ensemble algorithms.- FINSTIX: a Cyber-Physical Data Model for Financial Critical Infrastructures.- Data Anomaly Detection: Predict & Prevent.- Inferring anomaly situation from multiple data sources in CyberPhysical Systems.- Fusing RGB and Thermal Imagery with Channel State Information for Abnormal Activity Detection using Multimodal Bidirectional LSTM.- A Cloud-Based Anomaly Detection for IoT Big Data.- Computer Vision & Dataset for Security.- An advanced Framework for Critical Infrastructure Protection using computer vision technologies.- A Comprehensive Dataset from a Smart Grid Testbed for Machine Learning based CPS Security Research.- Security Management & Governance.- Cross-Domain Security Asset Management for Healthcare.- Towards a global CIs' cyber-physical security management and joint coordination approach.- Toward a Context-Aware Methodology for Information Security Governance Assessment Validation.- Impact Propagation & Power Traffic Analysis.- Impact Propagation in Airport Systems.- A Comparative Analysis of Emulated and Real IEC-104 Spontaneous Traffic in Power System Networks.

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Book SynopsisThe two-volume set LNCS 12726 + 12727 constitutes the proceedings of the 19th International Conference on Applied Cryptography and Network Security, ACNS 2021, which took place virtually during June 21-24, 2021. The 37 full papers presented in the proceedings were carefully reviewed and selected from a total of 186 submissions. They were organized in topical sections as follows: Part I: Cryptographic protocols; secure and fair protocols; cryptocurrency and smart contracts; digital signatures; embedded system security; lattice cryptography; Part II: Analysis of applied systems; secure computations; cryptanalysis; system security; and cryptography and its applications. Table of ContentsCryptographic Protocols.- Adaptive-ID Secure Hierarchical ID-Based Authenticated Key Exchange under Standard Assumptions without Random Oracles.- Analysis of Client-side Security for Long-term Time-stamping Services.- Towards Efficient and Strong Backward Private Searchable Encryption with Secure Enclaves.- Secure and Fair Protocols.- CECMLP: New Cipher-Based Evaluating Collaborative Multi-Layer Perceptron Scheme in Federated Learning.- Blind Polynomial Evaluation and Data Trading.- Coin-Based Multi-Party Fair Exchange.- Cryptocurrency and Smart Contracts.- P2DEX: Privacy-Preserving Decentralized Cryptocurrency Exchange.- WOTS+ up my Sleeve! A Hidden Secure Fallback for Cryptocurrency Wallets.- Terrorist Attacks for Fake Exposure Notifications in Contact Tracing Systems.- Digital Signatures.- Unlinkable and Invisible -Sanitizable Signatures.- Partially Structure-Preserving Signatures: Lower Bounds, Constructions and More.- An Efficient Certificate-Based Signature Scheme in the Standard Model.- Embedded System Security.- SnakeGX: a sneaky attack against SGX Enclaves.- Telepathic Headache: Mitigating Cache Side-Channel Attacks on Convolutional Neural Networks.- Efficient FPGA Design of Exception-Free Generic Elliptic Curve Cryptosystems.- Lattice Cryptography.- Access Control Encryption from Group Encryption.- Password Protected Secret Sharing from Lattices.- Efficient Homomorphic Conversion Between (Ring) LWE Ciphertexts.

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Book SynopsisThis book constitutes the revised selected papers from the 22nd International Conference on Information Security Applications, WISA 2021, which took place on Jeju Island, South Korea, during August 2021. The 23 papers included in this book were carefully reviewed and selected from 66 submissions. They were organized in topical sections as follows: machine learning security; cryptography; hardware security; and application security.Table of ContentsMachine Learning Security.- LOM: Lightweight classifier for obfuscation methods.- A Method for Collecting Vehicular Network Data for Enhanced Anomaly Detection.- Unsupervised Driver Behavior Profiling leveraging Recurrent Neural Networks.- On the robustness of intrusion detection systems for vehicles against adversarial attacks.- A Framework for Generating Evasion Attacks for Machine Learning based Network Intrusion Detection Systems.- Echo-Guard : Acoustic-based Anomaly Detection System for Smart Manufacturing Environments.- Research on improvement of anomaly detection performance in industrial control systems.- Cryptography.- Quantum Cryptanalysis Landscape of Shor's Algorithm for Elliptic Curve Discrete Logarithm Problem.- Anonymous IBE from PEKS : A Generic Construction.- Secure Computation of Shared Secrets and Its Applications.- Pattern Matching over Encrypted Data with a Short Ciphertext.- Efficient adaptation of TFHE for high end-to-end throughput.- AnyTRNG: Generic, High-throughput, Low-area True Random Number Generator based on Synchronous Edge Sampling.- Hardware Security.- Masked Implementation of PIPO Block Cipher on 8-bit AVR Microcontrollers.- Parallel Implementation of PIPO Block Cipher on 32-bit RISC-V Processor.- No Silver Bullet: Optimized Montgomery Multiplication on Various 64-bit ARM Platforms.- ARMed Frodo: FrodoKEM on 64-bit ARMv8 Processors.- Quantitative Analysis on Attack Capacity in Meltdown-type Attacks.- Application Security.- Adaptive Network Security Service Orchestraction based on SDN/NFV.- A General Framework for Matching Pattern Hiding in Deep Packet Inspection.- A Privacy-Preserving Payment Model for EV Charging.- Measuring Healthcare Data Breaches.- BadASLR: Exceptional cases of ASLR aiding Exploitation.

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Book SynopsisThis book constitutes revised selected papers from the 11th International Workshop on Constructive Side-Channel Analysis and Secure Design, COSADE 2021, held in Lugano, Switzerland, in October 2021.The 14 full papers carefully reviewed and selected from 31 submissions are presented in this volume together with the 4 extended keynote abstracts. The workshop covers the following subjects: cryptography, side-channel analysis, cryptographic implementations, fault attacks, implementation attacks, post-quantum cryptography, hardware accelerators, etc.

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Book SynopsisThis book constitutes the refereed post-conference proceedings of the 17th EAI International Conference on Quality, Reliability, Security and Robustness in Heterogeneous Networks, QShine 2021, held in November 2020. Due to COVID-19 pandemic the conference was held virtually. The 20 revised full papers were carefully reviewed and selected from 43 submissions. The papers are organized thematically in tracks Machine Learning in Distributed Networks; 5G Networks and Security; IoT Security and Lightweight Cryptography; Network Security; and Privacy-preserving Emerging Networked Applications.Table of ContentsMachine Learning in Distributed Networks.- FedDICE: A ransomware spread detection in a distributed integrated clinical environment using federated learning and SDN based mitigation.- Accelerating TEE-based DNN Inference Using Mean Shift Network Pruning.- Towards Secure and Trustworthy Crowdsourcing with Versatile Data Analytics.- Blockchain Networks and Blockchain-based Applications.- Blockchain for IoT : A Critical Analysis Concerning Performance and Scalability.- Toward Achieving Unanimity for Implicit Closings in a Trustless System.- DBS: Blockchain-based privacy-preserving RBAC in IoT.- 5G Networks and Security.- 8 A Lightweight Authentication Protocol for 5G Cellular Network Connected Drones.- Anti-eavesdropping Proportional Fairness Access Control for 5G Networks.- Joint Relay Selection and Frequency Allocationfor D2D Communications.- IoT Security and Lightweight Cryptography 11 Chaos and Logistic Map based Key Generation Technique for AES-driven IoT Security.- A Usability Study of Cryptographic API Design.- An S-box Design using Irreducible Polynomial with Affine Transformation for Lightweight Cipher.- The Phantom Gradient Attack: A Study Of Replacement Functions For The XOR Function.- Network Security 15 Topology Validator - Defense against Topology Poisoning Attack in SDN.- Towards an Attention-based Accurate Intrusion Detection Approach.- Avoiding VPN Bottlenecks: Exploring Network-Level client Identity Validation Options.- Privacy-preserving Emerging Networked Applications.- Privacy-Preserving Ranked Searchable Encryption Based on Differential Privacy.- Memory-efficient Encrypted Search using Trusted Execution Environment Viet Vo.

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Book SynopsisThis book constitutes the proceedings of the 17th International Conference on Information Systems Security, ICISS 2021, held in Patna, India, during December 16-20, 2021. The 9 regular papers, 2 short papers and 4 work-in-progress papers included in this volume were carefully reviewed and selected from a total of 48 submissions. The papers were organized in topical sections named: attack detection, malware identification, data security in distributed systems, and applied cryptography.

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Book SynopsisThis book constitutes selected and revised papers from the Second Silicon Valley Cybersecurity Conference, held in San Jose, USA, in December 2021. Due to the COVID-19 pandemic the conference was held in a virtual format. The 9 full papers and one shoprt paper presented in this volume were thoroughly reviewed and selected from 15 submissions. They present most recent research on dependability, reliability, and security to address cyber-attacks, vulnerabilities, faults, and errors in networks and systems. Chapters 1, 4, 5, 6, and 8-10 are published open access under a CC BY license (Creative Commons Attribution 4.0 International License).Table of ContentsMachine Learning for Security.- Encryption.- Miscellaneous Security.

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Book SynopsisAI for Security.- Classify Me Correctly if You Can Evaluating Adversarial Machine Learning Threats in NIDS.- CUFT Cuflow based Approach with Multi headed Attention Mechanism for Encrypted Traffic Classification.- CyberEA An Efficient Entity Alignment Framework for Cybersecurity Knowledge Graph.- DNN Architecture Attacks via Network and Power Side Channels.- Invisibility Spell Adversarial Patch Attack Against Object Detectors.- Meta Perturbation Generation Network for Text based CAPTCHA.- Model Inversion Attacks on Homogeneous and Heterogeneous Graph Neural Networks.- Unsupervised Multi Criteria Adversarial Detection in Deep Image Retrieval.- VRC GraphNet A Graph Neural Network based Reasoning Framework for Attacking Visual Reasoning Captchas.- Authentication.- An Adaptive Authentication Protocol for Internet of Vehicles Based on Vehicle Density.- Discovering and Understanding the Security Flaws of Authentication and Authorization in IoT Cloud APIs for Smart Home.- Optimizing Lightweight Intermittent Message Authentication for Programmable Logic Controller.- Blockchain and Distributed System Security.- Byzantine Protocols with Asymptotically Optimal Communication Complexity.- Demystifying Blockchain Scalability Sibling Chains with Minimal Interleaving.- VDABSys A novel security testing framework for blockchain systems based on vulnerability detection. Cryptography.- Anonymous Key Issuing Protocol with Certified Identities in Identity based Encryption.- Batch Lattice Based Designated Verifier ZK SNARKs for R1CS.- Certificateless Aggregate Signature Without Trapdoor for Cloud Storage.- Efficient Zero Knowledge for Regular Language.- Enabling Fast Settlement in Atomic Cross-Chain Swaps.- HeSUN Homomorphic Encryption for Secure Unbounded Neural Network Inference.- Optimization of Functional Bootstraps with Large LUT and Packing Key Switching.- Data Security.- An Authentication Algorithm for Sets of Spatial Data Objects.- An Efficient Private Information Retrieval Protocol Based on TFHE.- mShield Protect In-process Sensitive Data Against Vulnerable Third Party Libraries.- Password Cracking by Exploiting User Group Information.

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Book SynopsisIntrusion and Anomaly Detection.- A Game Theoretical Analysis of Distributed Denial of Service Defense Incent.- DDoS Mitigation Dilemma Exposed A Two Wave Attack with Collateral Damage of Millions.- Lightweight Intrusion Detection for IoT Systems using Artificial Neural Networks.- MVTBA A Novel Hybrid Deep Learning Model for Encrypted Malicious Traffic Identification.- POP-HIT Partially Order Preserving Hash Induced Transformation for Privacy Protection in Face Recognition Access Control. IoT Security.- Enhancing Cross Device Security with Fine Grained Permission Control.- The Security Analysis of ROS2 Communication.- VET Autonomous Vehicular Credential Verification using Trajectory and Motion Vectors. Network Security.- A Stable Fine-grained Webpage Fingerprinting Aiming at the Unstable Realistic Network.- Securing Web Inputs using Parallel Session Attachments.- Unsupervised and Adaptive Tor Website Fingerprinting.- Visibility of Scan Traffic Trends in Sparsely Populated Darknets.- Privacy.- Do Backdoors Assist Membership Inference Attacks.- Efficient and Scalable Multi Party Privacy Preserving k NN Classification.- Efficient Unbalanced Private Set Intersection Protocol over Large-scale Datasets Based on Bloom Filter.- PPEC Privacy Preserving and Cost Effective Incremental Density Peak Clustering Scheme for Profit Driven Clouds.- Practical Privacy Preserving Community Detection in Decentralized Weighted Networks.- Split Without a Leak Reducing Privacy Leakage in Split Learning.- Street Rep A Privacy Preserving Reputation Aggregation System.- Program Analysis.- Analyzing Implementation based SSL TLS Vulnerabilities with Binary Semantics Analysis.- Identifying Library Functions in Stripped Binary Combining Function Similarity and Call Graph Features.- PDFIET PDF Malicious Indicators Extraction Technique through Optimized Symbolic Execution.- Ransomware as a Service Demystifying Android Ransomware Generators.- Software Security.- CV2XFuzzer C V2X Parsing Vulnerability Discovery System Based on Fuzzing.- Learning AI coding style for software plagiarism detection.- Understanding and Measuring Inter Process Code Injection in Windows Malware.

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Book SynopsisEstablishing Secure and Privacy-Preserving Blockchain Applications Through Real World Cryptography. DPM Papers: Privacy-Preserving Optimal Parameter Selection for Collaborative Clustering.- reteLLMe: Design rules for using Large Language Models to Protect the Privacy of Individuals in their Textual Contributions.- Plausible Deniability of Redacted Text.- Exploring Distribution Learning of Synthetic Data Generators for Manifolds.- HEDAS: Secure and Efficient Distributed OLAP using Fully Homomorphic Encryption.- Card-based Cryptographic Protocols for Three-input Functions with a Standard Deck of Cards Using Private Operations.- Grid-Based Decompositions for Spatial Data under Local Differential Privacy.- Balancing Privacy and Utility in Multivariate Time-Series Classification.- Dynamic k-anonymity: A Topological Framework.- Using Static Code Analysis for GDPR Compliance Checks.- Privacy-preserving tabular data generation: Systematic Literature Review.- A DPIA Repository for Interdisciplinary Data Protection Research.- Secrecy and Sensitivity: Privacy-Performance Trade-Offs in Encrypted Traffic Classification. CBT Papers: Route Discovery in Private Payment Channel Networks.- A comparative study of Rust smart contract SDKs for Application-Specific Blockchains.- Offchain Runtime Verification (for The Tezos Blockchain).- Quantifying Liveness and Safety of Avalanche's Snowball.- We will DAG you.- Assessing the Impact of Sanctions in the Crypto Ecosystem: Effective Measures or Ineffective Deterrents?.- Practical Implementation of Pairing-Based zkSNARK in Bitcoin Script.- Homomorphic Encryption Based ECDSA Generation Over Five Party Protocol.- Benchmarking post-quantum cryptography in Ethereum-based blockchains. CyberICPS Papers: Exploring Anomaly Detection for Marine Radar Systems.- Hunting Vulnerabilities in the Maritime Domain.- Threat Modeling in Satellite Communications for Maritime Operations.- Cybersecurity Challenges in Industrial Control Systems: An Interview Study with Asset Owners in Norway.- Usage of Cybersecurity Standards in Operational Technology Systems.- Deployment Challenges of Industrial Intrusion Detection Systems.- A Framework For Applying Digital Twins To Support Incident Response.- Automated Side-Channel Analysis of ARM TrustZone-M Programs.- FrameD: Toward Automated Identication of Embedded Frameworks in Firmware Images.- Leveraging the domain experts: specializing privacy threat knowledge.

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Book SynopsisNetwork Security.- RFI: Enhancing Network Intrusion Detection through Robust Feature Selection Techniques.- HyperBC: Hypergraph-based Approach for Behavior Cluster of Suspicious APT Attacks.- MEMO: Detecting Unknown Malicious Encrypted Traffic via Metric Learning and Order aware Pre training.- Interoperable Security Information and EventManagement Framework for Multi Cloud Environment.- Anti-EMP: Encrypted Malware Packets Filtering Algorithm Leveraging Ciphertext Patterns under Zero Knowledge Setting.- Is This the Same Code? A Comprehensive Study of Decompilation Techniques for WebAssembly Binaries.- Distributed Intrusion Detection in Dynamic Networks of UAVs using Few Shot Federated Learning.- Interference Avoidance and Mitigation Technique Utilizing Cooperative Characterization of Interferers in Dense Wireless Networks.- A Border Management Protocol for Multi Identifier Network within the Network Layer and Its Attack Detection Extension.- VLDoS Variable Low rate DoS Attack Model for BBR algorithm in TCP.- FullView: Using Bidirectional Group Sequences to Achieve Accurate Encrypted Traffic Classification.- TEE-Receipt: A TEE based Non repudiation Framework for Web Applications.- An Incentive Mechanism for Enhancing Transaction Privacy Based on Reputation Perception and Double Auction.- Dynamically Expanding Factor Base of Index Calculus Algorithm to Solve Massive Discrete Logarithm Problems Faster.- Blockchain and Cryptocurrencies.- ASOZ: Anonymous and Auditable Cryptocurrency withEnhanced Confidential Transaction.- Identity Inference in Ethereum: Towards Financial Security for Blockchain Ecosystem.- SMDT: A Blockchain based Secure Multi version DataTrading Scheme with Fair Profit Sharing.- Substitution Attacks on Asymmetric (Group) Message Franking.- Symerge: Replacing Calls in Under Constrained Symbolic Execution and Find Vulnerabilities.- Threshold Key Management and Signature in Dynamic Distributed System.

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Book SynopsisFuzzing and IoT security.- Fast Firmware Fuzz with Input/Output Reposition.- ChipFuzzer: Towards Fuzzing Matter based IoT Devices for Vulnerability Detection.- Reusablity Evaluation of Reports in Security Operation Centers for IoT with Sentence ALBERT and Jaccard Similarity.- Multi Server Publicly Verifiable Computation of polynomials.- Siamese Neural Network for Robust IoT Device Type Identification: A Few Shot Learning Approach.- FISFuzzer: A Grey Box Protocol Fuzzer Based on Field Inference and Scheduling.- Malware and Attack Analysis.- Mal POBM: A Genetic Algorithm for Malware Adversarial Sample Generation.- Graphite: Real Time Graph Based Detection of Windows Fileless Malware Attacks.- Robust Network Intrusion Detection via Semi-Supervised Deep Reinforcement Learning.- BinSimDB: Benchmark Dataset Construction for Fine Grained Binary Code Similarity Analysis.- OnionPeeler: A Novel Input Enriched Website Fingerprinting Attack on Tor Onion Services.- Web Security.- Beyond the Public Mempool: Catching DeFi Attacks Before They Happen with Real Time Smart Contract Analysis.- Ensuring Integrity in Online Content Usage and Download Counting with Smart Contracts.-ChatSpamDetector: Leveraging Large Language Models for Effective Phishing Email Detection.- EasyCSPeasy: A Server side and Language agnostic XSS Mitigation by Devising and Ensuring Compliance with CSP.- Encoder based Multimodal Ensemble Learning for High Compatibility and Accuracy in Phishing Website Detection.- Bag of Characters: A Multiple Instance Learning Framework for URL Embedding in Web Security.- AutoS2ploit: From Automotive Safety Critical Functionalities to Security Exploit.- Pitfalls of data masking techniques: Re-identification attacks.- Faster Three Party Constant round Comparison with Application in Neural Network Inference.- WtLDP:Generating Synthetic Decentralized Weighted Graphs with Local Differential Privacy.- Tarnhelm: Using Adversarial Samples to Protect User Privacy Against Traffic Identification.

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Book SynopsisAuthentication.- Pulse to-Pair: Heartbeat based Authentication of IoT Devices for Elderly Care.- A Lightweight Group Authentication Framework for Cross Domain Internet of Things.- DPU LARD: DPU Leveraged Attestation of Remote Devices for Security of OT Networks.- Gait4Auth: Enhancing Identification and Security in Gait Based Authentication.- A Hardware Oriented Lightweight Block Cipher and Its Application in Surveillance Video.- TGSA: Trajectory Group Semantic Anonymization.- Large Language Model for Cybersecurity.- Can’t say cant? Measuring and Reasoning of Dark Jargons in Large Language Models.- Cybersecurity with LLMs and RAGs: Challenges and Innovations.- Enhancing Pre Trained Language Models for Vulnerability Detection via Semantic Preserving Data Augmentation.- K-BOOST: A Cyber Security NER Model with Knowledge Augmentation via BERT.- FLKT: Improving the Fidelity and Robustness of Federated Learning Aggregation Rules via the Key data and Trap model.- Poisoning Attack on Federated Learning with Non IID Data: A Historical-Global-Model-Based Approach.- Security Assessments.- A Comprehensive Evaluation of the Impact on Tor Network Anonymity Caused by ShadowBridge.- ADG-Dedup: Adaptive Dynamic Grained Deduplication Scheme for IoT Data in Cloud Storage.- Enhancing Reliability in Open Rating Systems: A Trust Aware Filtering Approach.- Graph Injection Attack based on Node Similarity and Non linear Feature Injection Strategy.- Assessing and Prioritizing Ransomware Risk Based onHistorical Victim Data.- Solving ILWE Problem More Efficiently and Application to BLISS Side Channel Attack.

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Book Synopsis.- Part I Introduction and Intuition: Chapter 1 Introduction .- Chapter 2 Motivating case studies .- Part II Modelling Protocols and Threats: Chapter 3 Syntax and operational semantics for security protocols .- Chapter 4 Threat models for open networks .- Part III Authentication and Privacy: Chapter 5 Authentication by agreement .- Chapter 6 Authentication using time and distance .- Chapter 7 Privacy.

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Book SynopsisThe monograph begins with a systematic introduction of chaos and chaos synchronization, and then extends to the methodologies and technologies in secure communication system design and implementation. The author combines theoretical frameworks with empirical studies, making the book a pratical reference for both academics and industrial engineers.Table of ContentsTable of content:PrefaceChapter 1 Introduction1.1 Linear, nonlinear and chaos1.2 History of chaos research1.3 Important scientists and interesting stories during the development of chaos1.4 Definition and characteristics of chaos1.5 Review on the research of chaotic synchronization method1.5.1 Existing synchronization methods and its characteristics 1.5.2 Other synchronization methods and problems1.6 Review on the study of chaotic secure communication1.6.1 Chaotic analogy communication1.6.2 Chaotic digital communication1.6.3 Encryption communication based on chaotic sequence1.7 Chaos research methods and the main research contentsChapter 2 Chaos performances analysis approach for nonlinear system2.1Phase trajectory (phase) graph analysis method 2.2 Power spectrum analysis method 2.3 Poincaré section method2.4 Lyapunov characteristics exponent method2.4.1 Definition of Lyapunov characteristic exponent2.4.2 Lyapunov characteristics spectrum2.4.3 Physical meaning of Lyapunov characteristics spectrum2.4.4 Condition Lyapunov characteristics exponent2.5 Fractal dimension analysis method2.6 0-1 test method2.6.1 0-1 test algorithm2.6.2 Modified 0-1 test algorithm2.6.3 Application of 0-1 test method2.7 Frequency divider sampling method?????2.8 Pseudo phase space method 2.9 Complexity measure method 2.9.1 Spectral entropy complexity algorithm2.9.2 C0 complexity algorithmChapter 3 Typical chaotic system3.1 Discrete chaotic system 3.1.1 Logistic map3.1.2 Tent map3.1.3 Hénon map3.1.4 TD-ERCS map3.2 Continuous chaotic system3.2.1 Duffing oscillator3.2.2 van der Pol oscillator3.2.3 Lorenz chaotic system3.2.4 Rössler chaotic system3.2.5 Chua's circuit system3.2.6 Chen chaotic system3.2.7 Lü chaotic system3.2.8 Unified chaotic system3.2.9 Simplified Lorenz chaotic system3.2.10 Proposed standard for new chaotic system3.3 Hyperchaotic system3.3.1 Rössler hyperchaotic system3.3.2 Chen hyperchaotic system Chapter 4 Synchronization principle and method of chaotic system4.1 Definition of chaos synchronization4.2 Performance index of chaos synchronization system4.3 Principle and performance of feedback control synchronization 4.3.1 Multi-variables driving feedback control synchronization between continuous chaotic system4.3.2 Linear and nonlinear feedback control synchronization for discrete chaotic system4.4 Adaptive parameter synchronization control based on Pecora-Carroll synchronization criterion4.4.1 Principle of adaptive parameter synchronization 4.4.2 Choice of control law and control parameter4.4.3 Determine of the control constant boundary and scope4.4.4 Synchronization simulation and results discussion4.5 Adaptive synchronization based on Lyapunov stability theory 4.5.1 Adaptive synchronization control for chaos system with known parameter4.5.2 Adaptive synchronization control for chaos system with unknown parameter 4.6 Intermittent feedback synchronization4.6.1 Intermittent feedback synchronization control between different chaos systems 4.6.2 Synchronization simulation and performance analysis4.7 Chaos synchronization control based on states observer 4.7.1 Design principle of states observer4.7.2 Design of states observer for unified chaotic system4.7.3 Simulation and results discussion 4.8 Chaos observer synchronization 4.8.1 Design principle of chaos observer 4.8.2 Design of chaos observer for unified chaotic system 4.8.3 Synchronization simulation and performance analysis 4.9 Projective synchronization4.9.1 Principle and simulation of scale projective synchronization 4.9.2 Principle and simulation of function projective synchronization 4.9.3 Principle and simulation of adaptive function projective synchronization 4.10 Problems and hot topic about chaos synchronization Chapter 5 Secure communication technology based on chaos synchronization 5.1 Chaos masking communication5.2 Chaos shift keying communication5.2.1 COOK5.2.2 CSK5.2.3 DCSK5.2.4 FM-DCSK5.2.5 QCSK5.3 Chaos parameter modulation 5.4 Chaotic spread spectrum communication5.4.1 Principle of chaotic direct sequence spread spectrum 5.4.2 Chaotic spread spectrum code 5.4.3 Multi user chaotic spread spectrum simulation module 5.4.4 Design and simulation of multi user chaotic spread spectrum system based on Rake receiver 5.4.5 Performance analysis of multi user chaotic spread spectrum system based on Rake receiver Chapter 6 Information encryption technology based on chaotic sequence6.1 Chaotic cryptography6.1.1Tradtional cryptosystem 6.1.2 Relationship between chaotic cryptography and traditional cryptography 6.1.3 Principle of chaotic sequence encryption6.2 Digital encryption algorithm based on chaotic sequence 6.2.1 Basic requirement for chaotic encryption algorithm 6.2.2 Logistic map system and its statistical characteristics 6.2.3 Chaotic sequence encryption module and algorithm 6.2.4 Implementation of data encryption algorithm 6.2.5 System debugging and performance analysis 6.3 Two value watermark image encryption algorithm based on chaotic map 6.3.1 Improvement of chaotic pseudo random sequence generator 6.3.2 Two value watermark image encryption algorithm based on TD-ERCS 6.3.3 Performance analysis of encryption algorithm 6.4 Color image watermarking algorithm based on chaotic map and wavelet transform 6.4.1 Wavelet transform algorithm and its application 6.4.2 Watermark embedding and extraction algorithm 6.4.3 Simulation and performance analysis6.5 Chaotic image encryption algorithm 6.5.1 Chaotic image encryption technology 6.5.2 New Scheme of chaotic image encryption Chapter 7 Audio and video of chaotic encryption communication technology7.1 Real time voice encryption communication principle7.1.1 Principle of digital encryption communication system 7.1.2 Real time voice encryption communication system7.1.3 Cipher synchronization technology7.2 Real time data stream encryption algorithm7.2.1 3DES encryption algorithm7.2.2 3DES encryption algorithm combined with chaotic map7.2.3 Network synchronization method 7.2.4 Security performance analysis of real time voice encryption communication 7.3 Implementation of real time voice encryption communication 7.3.1 Framework of real time voice encryption communication system 7.3.2 Real time transport protocol and its data structure7.3.3 RTP protocol realization based on adaptive communication environment7.3.4 Debugging and performance testing7.4 MPEG video encryption algorithm based on chaotic sequence 7.4.1 Design principle of chaotic encryption system 7.4.2 MPEG video encryption principle and step 7.4.3 Design of stream cipher based on chaos7.4.4 Design of scrambling algorithm based on chaos7.4.5 Encryption experiment and effect analysis7.4.6 Performance analysis of MPEG video encryption system7.5 H.264 video encryption algorithm based on chaos 7.5.1 Design of chaotic stream cipher based on TD-ERCS7.5.2 H.264 video encryption scheme7.5.3 Performance analysis of video encryption Chapter 8 Analysis and simulation of fractional-order chaotic system8.1 Research status of fractional-order chaotic system 8.2 Definition of fractional calculus and its physical meaning8.3 Approximate method of fractional-order chaotic system 8.3.1 Approximate method in frequency domain 8.3.2 Approximate method in time domain 8.4 Simulation method for fractional-order system 8.4.1 Dynamic simulation method8.4.2 Circuit simulation method8.4.3 Numerical Simulation method8.4.4 Comparison among simulation methods 8.5 Dynamics of fractional-order unified chaotic system based on frequency method 8.5.1 Module of fractional-order unified chaotic system 8.5.2 Dynamic simulation of fractional-order unified chaotic system 8.5.3 Dynamics of fractional-order unified chaotic system with fixed parameter 8.5.4 Dynamics of fractional-order unified chaotic system with changed parameter 8.6 Dynamics of fractional-order diffusionless Lorenz system based on time method8.6.1 Module of 8.6.2 Chaos characteristic of fractional-order diffusionless Lorenz system 8.6.3 Bifurcation analysis with different control parameter R 8.6.4 Bifurcation analysis with different fractional order 8.6.5 Bifurcation characteristics with different fractional order equationChapter 9 Simulation and implementation of chaotic system 9.1 Dynamic simulation for chaotic system 9.1.1 Steps of dynamics simulation on Simulink 9.1.2 Results analysis and its performance improvment9.2 Circuit simulation for chaotic system9.3 Chaotic analog circuit design 9.3.1 Design steps for chaotic analogy circuit 9.3.2 Chaotic analogy circuit modular design 9.3.3 Basic composition and component selection of chaotic circuit9.4 Improved modular design of chaotic circuit 9.4.1 Design of multi scroll Jerk circuit based on OA component 9.4.2 Design of multi scroll Jerk circuit based on CC component9.5 Design and implementation of DSP chaotic system 9.5.1 Experimental platform of DSP chaotic system 9.5.2 DSP implementation of integer-order chaotic system 9.5.3 DSP implementation of fractional-order chaotic systemAppendix: Matlab source program for chaotic characteristics analysis

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