Computer security Books

Book SynopsisSide Channels: Not So Secure TSC.- G-DBREACH Attacks: Algorithmic Techniques for Faster and Stronger Compression Side Channels.- Decompose and conquer: ZVP attacks on GLV curves.- Wolf in Sheep’s Clothing: Understanding and Detecting Mobile Cloaking in Blackhat. Informatuion Security: Optimal Communication Unbalanced Private Set Union.- Negative Results on Information-theoretic Additive Randomized Encodings.- Two-party ECDSA with JavaCard-based smartcards.- MSED: A Linguistic Steganalysis Method Based on Multi-Granularity Semantic Extraction Using Dual-Mode Fusion. Privacy & Anonymity: Privately Compute the Item with Maximal Weight Sum in Set Intersection.- Algebraic Zero Knowledge Contingent Payment.- On Proofs of Plaintext Knowledge for the Joye-Libert Encryption Scheme.- AQQUA: Augmenting Quisquis with Auditability. Cryptanalysis: Security Analysis of Forward Secure Log Sealing in Journald.- Generic Security of GCM-SST.- Revisiting the attacker’s knowledge in inference attacks against Searchable Symmetric Encryption.- On the Structural Properties of Toffoli Gate Composition in ARADI: Implications for Algebraic Distinguishers. Attacks & Vulnerabilities: CANTXSec: A Deterministic Intrusion Detection and Prevention System for CAN Bus Monitoring ECU Activations.- OCEAN: Open-World Contrastive Authorship Identification.- The Impact of SBOM Generators on Vulnerability Assessment in Python: A Comparison and a Novel Approach.- Protection Against Subversion Corruptions via Reverse Firewalls in the Plain Universal Composability Framework.

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Book SynopsisQuantum & Post-Quantum: Everlasting Fully Dynamic Group Signatures.- From ElGamal to Lattice-Based: Enhancing the Helios Voting System with Quantum-Safe Cryptography.- Post-Quantum Cryptography for Linux File System Integrity. Biometrics & Authentication: SEBioID: Secure and Effcient Biometric Identification with Two-Party Computation.- SoK: Continuous User Authentication Beyond Error Rates: Reviewing General System Properties.- Cancelable Biometrics based on Cosine Locality Sensitive Hashing and Grouped Inner Product Transformation for Real-valued Features. Privacy: PARSAN-Mix: Packet-Aware Routing and Shuffing with Additional Noise for Latency Optimization in Mix Networks.- ProvDP: Differential Privacy for System Provenance Dataset.- A New Quadratic Noisy Functional Encryption Scheme and Ist Application for Privacy Preserving Machine Learning.- FNSA: An Adaptive Privacy Protection Model for Trajectory Data.- SPPM: A Stackelberg Game-based Personalized Privacy-Preserving Model in Mobile Crowdsensing Systems. Machine Learning: Homomorphic WiSARDs: Effcient Weightless Neural Network training over encrypted data.- LaserGuider: A Laser Based Physical Backdoor Attack against Deep Neural Networks.- Recovering S-Box Design Structures and Quantifying Distances between S-Boxes using Deep Learning.- Obfuscation for Deep Neural Networks against Model-based Extraction Attacks: Taxonomy and Optimization.

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Book Synopsis.- Computer Modeling and Intelligent Information Technology..-  Subgraph-based lightGBM to Detect Sybil Addresses Across Multiple Blockchain Platforms..- Knowledge Extraction for Commercial Aircraft Process Specification Based on LLM Generation Rules..-  Robo-Advisors in Investment Management: Transforming Accessibility, Personalization, and Efficiency through Artificial Intelligence..- Wind speed prediction analysis based on machine learning in wind power generation..-  Neural Network Visual System Oriented Image Quality Evaluation for Camera Modeling in Cooperative Automated Driving Simulation..- Research on the Application of Neural Networks in the Identification and Classification of Data Assets in Network Security Space..-  A method of locating tropical cyclone center based on gaussian model..- Research on Virtualization-Based and Intelligently Guided Fuzzing Method for Industrial Control Systems Abstract..- Research and Practice of Dependency Parsing Based on Multiple Parser..-  The Research on Traditional Chinese Medicine Identification Method Based on YOLOv8 Deep Learning Model..- Network Information Security and Anomaly Detection..- A malicious code propagation model based on IoT honeypot decoy technology..- A Framework Utilizing Deep Learning for Anomaly Detection in Propagation Model..-  Network Malicious Attack Detection Based on Hierarchical Spatial Attention Mechanism..-  Research on 5G Channel Reciprocity for Wireless Physical Layer Security..- Research on Network Anomaly Traffic Attack Detection..- Automated Locating and Isolating Attack Sources in Local Area Networks..-  Network Security Protection Evaluation Method Based on Multi-source Information Fusion..-  Intrusion Detection Based on the Combination of TMG-GAN and CNN-BILSTM-Attention..-  A Blockchain-Based Secure Task Management Scheme for UAV Swarms.

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Book SynopsisChapter 1. AI-Driven Cloud Transformation.- Chapter 2. Cloud Security in the Age of Generative AI.- Chapter 3. AI for Sustainable Cloud Architectures.- Chapter 4. Data Privacy and Governance in AI-Powered Cloud.- Chapter 5. Green Cybersecurity: Eco-Friendly Threat Detection.- Chapter 6. AI-Powered Multi-Cloud and Hybrid Cloud Strategies.- Chapter 7. AI for Compliance in Cloud Environments.- Chapter 8. Future of Generative AI in Cloud Infrastructure.- Chapter 9. AI for Real-Time Cloud Monitoring.- Chapter 10. Carbon Footprint Reduction with AI in Cloud Data Centers.- Chapter 11. AI and IoT: Shaping the Future of Cloud Ecosystems.- Chapter 12. The Ethics of AI and Cloud Security.- Chapter 13. AI for Cloud Cost Optimization.- Chapter 14. Next-Generation Cloud Automation with Generative AI.- Chapter 15. AI in Cloud Disaster Recovery and Business Continuity.- Chapter 16. AI-Enabled DevSecOps for Secure Cloud Deployments.- Chapter 17. AI and Edge Computing.- Chapter 18. Sustainable FinOps: Balancing Cloud Costs and Carbon Footprints.

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Book SynopsisThis book constitutes the carefully refereed post-proceedings of the 6th Symposium on Foundations and Practice of Security, FPS 2013, held in La Rochelle, France, in October 2013. The 25 revised full papers presented together with a keynote address were carefully reviewed and selected from 65 submissions. The papers are organized in topical sections on security protocols, formal methods, physical security, attack classification and assessment, access control, cipher attacks, ad-hoc and sensor networks, resilience and intrusion detection.Table of ContentsOn the Efficiency of Mathematics in Intrusion Detection: The NetEntropy Case.- On the Feasibility of a Censorship Resistant Decentralized Naming System.- A General Framework for Group Authentication and Key Exchange Protocols.- Modelling Simultaneous Mutual Authentication for Authenticated Key Exchange.- Model-Based Specification and Validation of Security and Dependability Patterns.- Enforcing Information Flow by Combining Static and Dynamic Analysis.- Fault Injection to Reverse Engineer DES-like Cryptosystems.- Software Camouflage.- Investigation of Parameters Influencing the Success of Optical Fault Attacks.- ONTIDS: A Highly Flexible Context-Aware and Ontology-Based Alert Correlation Framework.- Quantitative Evaluation of Enforcement Strategies.- Collusion Resistant Inference Control for Cadastral Databases.- Leveraging Ontologies upon a Holistic Privacy-Aware Access Control Model.- Formal Modelling of Content-Based Protection and Release for Access Control in NATO Operations.- Computational Soundness of Symbolic Blind Signatures under Active Attacker.- Improved Davies-Murphys Attack on DES Revisited.- Yet Another Fault-Based Leakage in Non-Uniform Faulty Ciphertexts.- A Hierarchal Anti-Counterfeit Mechanism: Securing the Supply Chain using RFIDs.- A More Realistic Model For Verifying Route Validity in Ad-Hoc Networks.- On the Security of a Privacy-Preserving Key Management Scheme for Location Based Services in VANETs.- CheR: Cheating Resilience in the Cloud via Smart Resource Allocation.- Evaluation of Software-Oriented Block Ciphers on Smartphones.- Don’t Push it: Breaking iButton Security.- Discovering Flaws in IDS through Analysis of their Inputs.- On the Reverse Engineering of the Citadel Botnet.- The Carna Botnet Through the Lens of a Network Telescope.

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Book SynopsisAttacks against computer systems can cause considerable economic or physical damage. High-quality development of security-critical systems is difficult, mainly because of the conflict between development costs and verifiable correctness. Jürjens presents the UML extension UMLsec for secure systems development. It uses the standard UML extension mechanisms, and can be employed to evaluate UML specifications for vulnerabilities using a formal semantics of a simplified fragment of UML. Established rules of security engineering can be encapsulated and hence made available even to developers who are not specialists in security. As one example, Jürjens uncovers a flaw in the Common Electronic Purse Specification, and proposes and verifies a correction. With a clear separation between the general description of his approach and its mathematical foundations, the book is ideally suited both for researchers and graduate students in UML or formal methods and security, and for advanced professionals writing critical applications.Table of ContentsPrologue.- Walk-through: Using UML for Security.- Background.- Developing Secure Systems.- Model-based Security Engineering with UML.- Applications.- Tool Support.- Tool support for UMLsec.- A Formal Foundation.- Formal Systems Development with UML.- Epilogue.- Further Material.- Outlook.

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Book SynopsisCyber attacks and IT breakdowns threaten every organization. The incidents accumulate and often form the prelude to complex, existence-threatening crises. This book helps not only to manage them, but also to prepare for and prevent cyber crises. Structured in a practical manner, it is ideally suited for crisis team members, communicators, security, IT and data protection experts on a day-to-day basis. With numerous illustrations and checklists.This book is a translation of the original German 1st edition Cyber Crisis Management by Holger Kaschner, published by Springer Fachmedien Wiesbaden GmbH, part of Springer Nature in 2020. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation. Springer Nature works continuously to further the development of tools for the production of books and on the related technologies to support the authors.Table of Contents- Textbook cyber crises - First things first: the human factor in (cyber) crisis management - Cyber Crisis Response - Crisis Preparation - Cyber Crisis Prevention - Post Crisis Care: post-crisis care and follow-up - At a glance: Seven Deadly Sins of Cyber Crisis Management.

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Book SynopsisDieses Lehrbuch behandelt systematisch alle Fachgebiete der IHK-Sachkundeprüfung nach dem aktuellen Rahmenstoffplan. Besonderen Wert hat der Autor dabei auf den oft als schwierig empfundenen Rechtsteil gelegt: Zahlreiche Abbildungen und Beispiele veranschaulichen die Gesetzestexte und ihre Bedeutung für die Praxis, erleichtern das Stoffverständnis und das Lernen. Übersichtlich und verständlich erläutert das Buch die Grundprinzipien der Rechtsordnung der Bundesrepublik Deutschland und deren Anwendung, wichtige Fachbegriffe und die Stellung der privaten Sicherheit. So bietet das Werk die optimale Prüfungsvorbereitung – Schritt für Schritt. Die überarbdeitete 6. Auflage entspricht dem aktuellen Rahmenstoffplan der DIHK vom Mai 2021.Table of ContentsRecht der öffentlichen Sicherheit und Ordnung.- Privatrecht.- Strafrecht.- Umgang mit Waffen.- Unfallverhütung.- Umgang mit Menschen.- Grundzüge der Sicherheitstechnik.

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Book SynopsisIntroduction.- Overview of cybersecurity education and training.- Technical cybersecurity training.- Attack training.- Forensics training.- Defense training.- Security awareness training.- Cybersecurity training platforms.- Case study: Cytrone.- Case study: Kypo.- Training platform capability assessment.- Conclusion.

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Book Synopsis.- Cryptography..- ECPM Cryptanalysis Resource Estimation..- Integral Attack with Bit-based Division Property on the Lightweight Block Cipher LBC..- Network Security..- ARP Spoofing Mitigation for the E2 Interface in Open RAN: An xApp Approach..- Investigating the Transferability of Evasion Attacks in Network Intrusion Detection Systems Considering Domain-Specific Constraints..- Enhancing Robustness in NIDS via Coverage Guided Fuzzing and Adversarial Training..- AI Security 1..- VoteGAN: Generalized Membership Inference Attack Against Generative Models by Multiple Discriminators..- Unsupervised Contextual Anomalous Communication Detection Using VQ Tokeniza tion with Flow Data..- Boosting Black-Box Transferability of Weak Audio Adversarial Attacks with Random Masking..- Network & Application Security..- Security Function for 5G-Advanced and 6G: Malicious UE Detection in Network Slicing..- Simple Perturbations Subvert Ethereum Phishing Transactions Detection: An Emperi cal Analysis..- LM Guardrail Framework: A Novel Approach for Implementing Zero Trust Architecture..- AI Security 2..- ChatDEOB: An Effective Deobfuscation Method based on Large Language Model..- An effective ensemble algorithm for short-term load forecasting..- CPS Security..- PUF-Based Authentication and Authorization Protocol for IoT..- Field Testing and Detection of Camera Interference for Autonomous Driving.- One-class Classification-based Position Falsification Detection System in C-ITS Communication Network..- Fuzzing..- Reverse Engineering-Guided Fuzzing for CAN Bus Vulnerability Detection..- Air-Fuzz: Feasibility analysis of fuzzing-based side-channel information leakage attack in air-gapped networks..- Fuzzing JavaScript Engines with Diversified Mutation Strategies..- Malware..- Detecting Phishing-targeted Web Push Notifications through Image Similarity Analysis..- Dissecting the Infrastructure Used in Web-based Cryptojacking: A Measurement Perspective..- A Survey on Attack Cases with VBS Malware in Windows..- Software Security..- Adversarial Manhole: Challenging Monocular Depth Estimation and Semantic Seg mentation Models with Patch Attack..- Plotting OSS-based Supply Chain attack strategies and the defense failure..- A Proposal of a Supply Chain Security Model for Generative AI..- Emerging Topic..- Privacy Enhanced P2P Power Trading Using DID-based Identity Verification in a Microgrid..- Quantum Implementation of LSH..- Who ruins the game?: unveiling cheating users in the Battlefield" game.

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Book Synopsis.- Secure Resource Allocation via Constrained Deep Reinforcement Learning..- Efficient Two-Party Privacy-Preserving Ridge and Lasso Regression via SMPC..- A Decentralized Bitcoin Mixing Scheme Based on Multi-signature..- Decentralized Continuous Group Key Agreement for UAV Ad-hoc Network..- Efficient Homomorphic Approximation of Max Pooling for Privacy-Preserving Deep Learning..- Blockchain-Aided Revocable Threshold Group Signature Scheme for Smart Grid..- Privacy-preserving Three-factors Authentication and Key Agreement for Federated Learnin..- Blockchain-Based Anonymous Authentication Scheme with Traceable Pseudonym Management in ITS..- Multi-keyword Searchable Data Auditing for Cloud-based Machine Learning..- A Flexible Keyword-Based PIR Scheme with Customizable Data Scales for Multi-Server Learning..- Automatic Software Vulnerability Detection in Binary Code..- Malicious Code Detection Based On Generative Adversarial Model..- Construction of an AI Code Defect Detection and Repair Dataset Based on Chain of Thought..- Backdoor Attack on Android Malware Classifiers Based on Genetic Algorithms..- A Malicious Websites Classifier Based on an Improved Relation Network..- Unknown Category Malicious Traffic Detection Based on Contrastive Learning..- SoftPromptAttack: Research on Backdoor Attacks in Language Models Based on Prompt Learning..- Removing Regional Steering Vectors to Achieve Knowledge Domain Forgetting in Large Language Models..- A Novel and Efficient Multi-scale Spatio-temporal Residual Network for Multi-Class Instrusion Detection..- Provable Data Auditing Scheme from Trusted Execution Environment..- Enhanced PIR Scheme Combining SimplePIR and Spiral: Achieving Higher Throughput without Client Hints..- A Two-stage Image Blind Inpainting Algorithm Based on Gated Residual Connection..- GAN-based Adaptive Trigger Generation and Target Gradient Alignment in Vertical Federated Learning Backdoor Attacks..- Weakly Supervised Waste Classification with Adaptive Loss and Enhanced Class Activation Maps..- A Vehicle Asynchronous Communication Scheme Based on Federated Deep Reinforcement Learning..- A Vehicles Scheduling Algorithm Based on Clustering based Federated Learning..- A Cooperative Caching Strategy Based on Deep Q-Network for Mobile Edge Networks..- YOLO-LiteMax: An Improved Model for UAV Small Object Detection..- LMCF-FS: A Novel Lightweight Malware Classification Framework Driven by Feature Selection..- Rule Learning-Based Target Prediction for Efficient and Flexible Private Information Retrieval.

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Book Synopsis.- Big data and cloud security..- Revocable Registered Attribute-Based Keyword Search Supporting Fairness..- HiddenStor: A Steganographic Storage System Built on Secret Sharing..- TA-DPDP: Dynamic Provable Data Possession for Online Collaborative System with Tractable Anonymous..- Foundations of Cryptography..- On the Relationship between Public Key Primitives via Indifferentiability..- Lattice-Based Succinct Mercurial Functional Commitment for Boolean Circuits: Definitions, and Constructions..- From Signature with Re-Randomizable Keys: Generic Construction of PDPKS..- Implementation of Cryptosystems..- SIMD Optimizations of White-box Block Cipher Implementations with the Self-equivalence Framework..- When Is Multi-Channel Better Than Single-Channel: A Case Study of Product-Based Multi-Channel Fusion Attacks..- Key Exchange..- Privacy-preserving Certificate-less Authenticated Key Exchange with Key Registration Privacy..- An Improved Signal Leakage Attack Against DXL Key Exchange Protocol..- srCPace: Universally Composable PAKE with Subversion-Resilience..- AI and Security..- Analyzing Decentralized Applications Traffic: A Multimodal Approach Based on GNN and BERT..- EditPSM: A New Password Strength Meter Based on Password Reuse via Deep Learning..- A Binary Code Similarity Detection Method Based on Multi-Source Contrastive Learning..- Malware Detection Method Based on Image Sample Reconstruction and Feature Enhancement..- Security Analysis..- Attention-based Decompilation through Neural Machine Translation..- DBridger: Discovering Vulnerable Data Sharing Paths in Embedded Firmware..- Privacy-enhancing technologies..- Efficient Privacy-Preserving Data Sharing Mechanisms Against Malicious Senders in Smart Grid..- NEST: Strong Key-Insulated Password-Based Shared-Custodial Blockchain Wallets..- Clustering Coefficient Estimating of Distributed Graph Data based on Shuffled Differential Privacy..- Watermarking..- Public-Key Watermarkable PRFs with Dynamic Bounded Collusion..- A Lossless Relational Data Watermarking Scheme Based on Uneven Partitioning..- CNNOVZKP: Convolutional Neural Network Model Ownership Verification with Zero-knowledge Proof.

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Book Synopsis.- Contents.- 1 Behaviorism . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.- 1.1 What is Behaviorism . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.- 1.1.1 The Eve of The Emergence of Behaviorism . . . . . . . . . . . . . . 1.- 1.1.2 The Birth of Behaviorism . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.- 1.2 The Development of Behaviorism . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3.- 1.2.1 The Stages of Development of Behaviorism . . . . . . . . . . . . . . 3.- 1.2.2 Differences in Research Approaches in Behavioral Psychology . . . . .. . . 15.- 1.3 Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18.- References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19.- 2 Behaviorism in Various Domains . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21.- 2.1 Behavioral Economics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21.- 2.1.1 The Origin of Behavioral Economics . . . . . . . . . . . . . . . . . . . . 22.- 2.1.2 The Key Theories and Their Applications . . . . . . . . . . . . . . . . 25.- 2.1.3 Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.- 2.2 Behaviorism Learning Theory . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34.- 2.2.1 The Origin of Behaviorism Learning Theory . . . . . . . . . . . . . 34.- 2.2.2 Representative Theories and Their Applications . . . . . . . . . . . 37.- 2.2.3 Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.- References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47.- 3 Behavioral Computing Technology System . . . . . . . . . . . . . . . . . . . . . . . . 49.- 3.1 Paradigm Evolution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.- 3.1.1 The First Paradigm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.- 3.1.2 The Second Paradigm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.- 3.1.3 The Third Paradigm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.- 3.1.4 The Fourth Paradigm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.- 3.1.5 Relationship Between Paradigms and Key Elements . . . . . . . 59.- 3.1.6 Paradigms Integration . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.- 3.2 behavior computing Methodological Classification . . . . . . . . . . . . . . . 64.- 3.2.1 Behavioral Inference . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.- 3.2.2 Behavioral Modeling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.- 3.2.3 Behavioral Simulation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.- References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.- 4 Human Factor and Behavioral Computing . . . . . . . . . . . . . . . . . . . . . . . . 71.- 4.1 Human Factor Engineering and Human Factor Security and Safety . 71.- 4.1.1 Human Factor Engineering . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71.- 4.1.2 Human Factor Security and Safety . . . . . . . . . . . . . . . . . . . . . . 74.- 4.2 Behavioral Computing for Human Factor Security and Safety . . . . . 78.- References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84.- 5 Behavioral Structure Computing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87.- 5.1 Behavioral Structure Modeling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87.- 5.1.1 Atomic Level Interactions within Molecules . . . . . . . . . . . . . . 88.- 5.1.2 Behavioral Identification and Structure Analysis . . . . . . . . . . 90.- 5.1.3 Behavioral Structure Design . . . . . . . . . . . . . . . . . . . . . . . . . . . 92.- 5.1.4 Behavioral Group Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92.- 5.2 Behavioral Structure Modeling for Simulation . . . . . . . . . . . . . . . . . . 93.- 5.2.1 Behavioral Simulation Needs Authentic BehavioralGeneration .. 93.- 5.2.2 Behavioral Generation with Behavioral Structure Modeling . 95.- References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97.- 6 Behavioral Visual Computing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99.- 6.1 Basic Concepts and Principles . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99.- 6.2 Behavioral Visual Modeling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101.- 6.2.1 Pose Estimation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102.- 6.2.2 Action Recognition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107.- 6.2.3 Behavioral Prediction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110.- 6.3 Behavioral Visual Simulation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 111.- 6.3.1 3D Reconstruction and Virtual Environments . . . . . . . . . . . . . 111.- 6.3.2 VLMs and Generative Agents . . . . . . . . . . . . . . . . . . . . . . . . . . 113.- 6.3.3 Reinforcement Learning and Self-determination . . . . . . . . . . 114.- References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 117.- 7 Behavioral Language Computing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121.- 7.1 Behavioral Language Modeling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121.- 7.1.1 Behavioral Subject Modeling . . . . . . . . . . . . . . . . . . . . . . . . . . 122.- 7.1.2 Behavioral Attribute Modeling . . . . . . . . . . . . . . . . . . . . . . . . . 124.- 7.1.3 Behavioral Event Modeling . . . . . . . . . . . . . . . . . . . . . . . . . . . . 127.- 7.2 Behavioral Language Simulation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131.- 7.2.1 Behavioral Planning Simulation . . . . . . . . . . . . . . . . . . . . . . . . 131.- 7.2.2 Behaviroal Memory Simulation . . . . . . . . . . . . . . . . . . . . . . . . 133.- 7.2.3 Behavioral Reflection Simulation . . . . . . . . . . . . . . . . . . . . . . . 134.- 7.2.4 Behavioral Environment Simulation . . . . . . . . . . . . . . . . . . . . 136.- 7.2.5 Behavioral Action Simulation . . . . . . . . . . . . . . . . . . . . . . . . . . 140.- 7.3 Hierarchical Model Architecture and Reflection Agent Learning.- Make Simulation behavioral . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 144.- 7.3.1 Hierarchical Model Architecture . . . . . . . . . . . . . . . . . . . . . . . 144.- 7.3.2 Reflection Agent Learning . . . . . . . . . . . . . . . . . . . . . . . . . . . . 145.- References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 146.- 8 Behavioral Computing for Human Factor Security and Safety in.- Cyberfinance . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 149.- 8.1 Financial Security in the Digital Age . . . . . . . . . . . . . . . . . . . . . . . . . . 150.- 8.1.1 Complexities and Challenges of Financial Security . . . . . . . . 150.- 8.1.2 Importance of Behavioral Safety . . . . . . . . . . . . . . . . . . . . . . . 151.- 8.2 Internal Human Factor Risk . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 152.- 8.2.1 Case Study . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 153.- 8.2.2 Internal Risk Behaviors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 154.- 8.2.3 Abnormal Behavior Analysis and Prediction . . . . . . . . . . . . . 156.- 8.2.4 Existing Technologies . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 156.- 8.3 External Malicious Attacks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 159.- 8.3.1 Case Study . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 160.- 8.3.2 External Malicious Behaviors . . . . . . . . . . . . . . . . . . . . . . . . . . 161.- 8.3.3 Malicious Behavior Detection and Defense . . . . . . . . . . . . . . . 162.- 8.3.4 Existing Technologies . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 163.- 8.4 Financial Security Technology and Behavioral Computing.- Technology . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 166.- 8.4.1 Shortcomings and Challenges of Existing Technologies . . . . 167.- 8.4.2 Behavioral Simulation Technology . . . . . . . . . . . . . . . . . . . . . 169.- References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 173.

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Book Synopsis.- Post-Quantum Cryptography..- Towards Quantum Security of Hirose Compression Function and Romulus-H..- Efficient Multi-instance Vector Commitment and Application to Post quantum Signatures..- Breaking the Shield: Novel Fault Attacks on CRYSTALS-Dilithium..- Efficient Revocable Identity-Based Encryption from Middle-Product LWE..- Code-based Fully Dynamic Accountable Ring Signatures and Group Signatures using the Helper Methodology..- Partial Key Exposure Attacks on UOV and Its Variants..- Unbounded Multi-Hop Proxy Re-Encryption with HRA Security: An LWEBased Optimization..- Fiat-Shamir with Rejection and Rotation..- Amoeba: More Flexible RLWE-based KEM..- Get Rid of Templates: A Chosen-Ciphertext Attack on ML-KEM with a DPA-based Self-Comparison Oracle..- Homomorphic Encryption and Applications..- Accountability for Server Misbehavior in Homomorphic Secret Sharing..- High-Precision Homomorphic Modular Reduction for CKKS Bootstrapping..- Refined Error Management for Gate Bootstrapping..- Cryptographic Foundations and Number Theory..- Compact Lifting for NTT-unfriendly Modulus..- Guaranteed Termination Asynchronous Complete Secret Sharing with Lower Communication and Optimal Resilience..- Solving Generalized Approximate Divisor Multiples Problems.

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Book Synopsis.- Privacy Enhancing Technologies..- Comparing and Improving Frequency Estimation Perturbation Mechanisms under Local Differential Privacy..- Strong Federated Authentication With Password-based Credential Against Identity Server Corruption..- Anonymous Credentials with Credential Redaction and Its Application to SSI-based Plug Charge for Shared Vehicles..- Direction-Oriented Smooth Sensitivity and Its Application to Genomic Statistical Analysis..- Sentence Embedding Generation Method for Differential Privacy Protection..-KD-IBMRKE-PPFL: A Privacy-Preserving Federated Learning Framework Integrating Knowledge Distillation and Identity-Based Multi-Receiver KeyEncapsulation..- AI Security and Privacy..- Identifying the Truth of Global Model: A Generic Solution to Defend Against Byzantine and Backdoor Attacks in Federated Learning..-RAGLeak: Membership Inference Attacks on RAG-Based Large LanguageModels..- DeGain: Detecting GAN-based Data Inversion in Collaborative Deep Learning..- FRFL: Fair and Robust Federated Learning Incentive Model Based on Game Theory..- DPFedSub: A Differentially Private Federated Learning with Randomized Subspace Descend..- MG-Det: Deepfake Detection with Multi-Granularity..- LPIA: Label Preference Inference Attack against Federated Graph Learning..- DARA: Enhancing Vulnerability Alignment via Adaptive Reconstruction and Dual-Level Attention..- Zeroth-Order Federated Private Tuning for Pretrained Large Language Models..- Understanding the Robustness of Machine-Unlearning Models..- System Security..- Mitigating the Unprivileged User Namespaces based Privilege Escalation Attacks with Linux Capabilities..- SoK: From Systematization to Best Practices in Fuzz Driver Generation..- Facial Authentication Security Evaluation against Deepfake Attacks in Mobile Apps..- Short Papers..- EAPIR: Efficient and Authenticated Private Information Retrieval with Fast Server Processing..- Ransomware Encryption Detection: Adaptive File System Analysis Against Evasive Encryption Tactics..- Receiver-initiated Updatable Public Key Encryption: Construction, Security and Application..- Robust and Privacy-Preserving Dynamic Average Consensus with Individual Weight..- Improving RSA Cryptanalysis: Combining Continued Fractions and Coppersmith’s Techniques..- Shortest Printable Shellcode Encoding Algorithm Based on Dynamic Bitwidth Selection..- Position Paper..- Bridging Clone Detection and Industrial Compliance: A Practical Pipeline for Enterprise Codebases.

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Book Synopsis.- Deidentification And Temporal Normalization of The Electronic Health Record Notes Using Large Language Models: The 2023 SREDH/AI-Cup Competition for Deidentification of Sensitive Health Information..- Enhancing Automated De-identification of PathologyText Notes Using Pre-Trained Language Models..- A Comparative Study of GPT3.5 Fine Tuning and Rule-Based Approaches for De-identification and Normalization of Sensitive Health Information in Electronic Medical Record Notes..- Advancing Sensitive Health Data Recognition and Normalization through Large Language Model Driven Data Augmentation..- Privacy Protection and Standardization of Electronic Medical Records Using Large Language Model..- Applying Language Models for Recognizing and Normalizing Sensitive Information from Electronic Health Records Text Notes..- Enhancing SHI Extraction and Time Normalization in Healthcare Records Using LLMs and Dual- Model Voting..- Evaluation of OpenDeID Pipeline in the 2023 SREDH/AI-Cup Competition for Deidentification of Sensitive Health Information..- Sensitive Health Information Extraction from EMR Text Notes: A Rule-Based NER Approach Using Linguistic Contextual Analysis..- A Hybrid Approach to the Recognition of Sensitive Health Information: LLM and Regular Expressions..- Patient Privacy Information Retrieval with Longformer and CRF, Followed by Rule-Based Time Information Normalization: A Dual-Approach Study..- A Deep Dive into the Application of Pythia for Enhancing Medical Information De-identification in the AI CUP 2023..- Utilizing Large Language Models for Privacy Protection and Advancing Medical Digitization..- Comprehensive Evaluation of Pythia Model Efficiency in De-identification and Normalization for Enhanced Medical Data Management..- A Two-stage Fine-tuning Procedure to Improve the Performance of Language Models in Sensitive Health Information Recognition and Normalization Tasks.

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Book Synopsis.- Security of Emerging Technologies in Computer Networks..- Advancing Quantum Computing and Cryptography..- Optical Neural Networks A Strategy for Secure Quantum Computing..- Guarding Against Quantum Threats: A Survey of Post-Quantum Cryptography Standardization, Techniques, and Current Implementations..- Cryptographic Distinguishers through Deep Learning for Lightweight Block Ciphers..- Detection and Mitigation of Email Phishing..- Securing Digital Forensic Data Using Neural Networks, Elephant Herd Optimization and Complex Sequence Techniques..- Design of Image Encryption Technique Using MSE Approach..- Low Latency Binary Edward Curve Crypto processor for FPGA platforms..- Augmenting Security in Edge Devices: FPGA-Based Enhanced LEA Algorithm with S-Box and Chaotic Functions..- AI-Driven Cybersecurity: The Role of Machine Learning..- Machine Learning Approach for Malware Detection Using Malware Memory Analysis Data..- DDOS Attack Detection in Virtual Machine Using Machine Learning Algorithms..- An Unsupervised Method for Intrusion Detection using Novel Percentage Split Clustering..- HATT-MLPNN: A Hybrid Approach for Cyber-Attack Detection in Industrial Control Systems Using MLPNN and Attention Mechanisms..- Silent Threats: Monitoring Insider Risks in Healthcare Sector..- Advancing Cybersecurity with Deep Learning Techniques..- Enhanced Deep Learning for IIoT Threat Intelligence: Revealing Advanced Persistent Threat Attack Patterns..- Adaptive Data-Driven LSTM Model for Sensor Drift Detection in Water Utilities..- Enhancing FGSM Attacks with Genetic Algorithms for Robust Adversarial Examples in Remote Sensing Image Classification Systems..- GAN-Enhanced Multiclass Malware Classification with Deep Convolutional Networks..- Securing Connected Systems: IoT, Cloud, and Web Security Strategies..- IOT Based Locker Access System with MFA Remote Authentication..- A Secure Authentication Scheme between Edge Devices using HyperGraph Hashing Technique in IoT Environment..- Enhancing Access Control and Information Sharing in Cloud IoT with an Effective Blockchain-Based Authority System..- Securing Data in MongoDB: A Framework Using Encryption..- Handling Sensitive Medical Data A Differential Privacy enabled Federated Learning Approach..- Securing your Web Applications: The Power of Bugbite Vulnerability Scanner.

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