Privacy and data protection Books

Book SynopsisThe first section of this book addresses the evolution of CISO (chief information security officer) leadership, with the most mature CISOs combining strong business and technical leadership skills. CISOs can now add significant value when they possess an advanced understanding of cutting-edge security technologies to address the risks from the nearly universal operational dependence of enterprises on the cloud, the Internet, hybrid networks, and third-party technologies demonstrated in this book. In our new cyber threat-saturated world, CISOs have begun to show their market value. Wall Street is more likely to reward companies with good cybersecurity track records with higher stock valuations. To ensure that security is always a foremost concern in business decisions, CISOs should have a seat on corporate boards, and CISOs should be involved from beginning to end in the process of adopting enterprise technologies.The second and third sections of this book focus on building strong security teams, and exercising prudence in cybersecurity. CISOs can foster cultures of respect through careful consideration of the biases inherent in the socio-linguistic frameworks shaping our workplace language and through the cultivation of cyber exceptionalism. CISOs should leave no stone unturned in seeking out people with unique abilities, skills, and experience, and encourage career planning and development, in order to build and retain a strong talent pool. The lessons of the breach of physical security at the US Capitol, the hack back trend, and CISO legal liability stemming from network and data breaches all reveal the importance of good judgment and the necessity of taking proactive stances on preventative measures. This book will target security and IT engineers, administrators and developers, CIOs, CTOs, CISOs, and CFOs. Risk personnel, CROs, IT, security auditors and security researchers will also find this book useful.Table of ContentsCISOs – Leading from the front!.- More CISOs on Corporate Boards.- Cyber program turnaround by a new CISO.- CISOs - the next step!.- CISO Maturity Model.- CISO guidance on some Emerging and Disruptive Technologies.- See Something, Do Something.- My journey as a writer.- Defensive measures in the wake of the SolarWinds fallout.- Cyber Exceptionalism.- Special Needs, Disability, and Cybersecurity: often, a great fit.- Bias-free lexicon.- The grass is not always greener on the other side.- Let not any outage go to waste.- If you can’t hire them, then develop them.- Should you accept Counteroffers?.- Importance of 1:1 Conversations.- The Cyber Hygiene Mantra.- Cybersecurity lessons from the breach of physical security at US Capitol building.- Protect society, the commonwealth, and the infrastructure - post COVID-19.- Self-Service Recovery Options for Bricked Windows Devices.- Certification and Accreditation.- Hack back or not.- CISOs need Liability Protection.- Enable Secure work-from-home.

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Book SynopsisThis open access book provides researchers and professionals with a foundational understanding of online privacy as well as insight into the socio-technical privacy issues that are most pertinent to modern information systems, covering several modern topics (e.g., privacy in social media, IoT) and underexplored areas (e.g., privacy accessibility, privacy for vulnerable populations, cross-cultural privacy). The book is structured in four parts, which follow after an introduction to privacy on both a technical and social level: Privacy Theory and Methods covers a range of theoretical lenses through which one can view the concept of privacy. The chapters in this part relate to modern privacy phenomena, thus emphasizing its relevance to our digital, networked lives. Next, Domains covers a number of areas in which privacy concerns and implications are particularly salient, including among others social media, healthcare, smart cities, wearable IT, and trackers. The Audiences section then highlights audiences that have traditionally been ignored when creating privacy-preserving experiences: people from other (non-Western) cultures, people with accessibility needs, adolescents, and people who are underrepresented in terms of their race, class, gender or sexual identity, religion or some combination. Finally, the chapters in Moving Forward outline approaches to privacy that move beyond one-size-fits-all solutions, explore ethical considerations, and describe the regulatory landscape that governs privacy through laws and policies. Perhaps even more so than the other chapters in this book, these chapters are forward-looking by using current personalized, ethical and legal approaches as a starting point for re-conceptualizations of privacy to serve the modern technological landscape. The book’s primary goal is to inform IT students, researchers, and professionals about both the fundamentals of online privacy and the issues that are most pertinent to modern information systems. Lecturers or teachers can assign (parts of) the book for a “professional issues” course. IT professionals may select chapters covering domains and audiences relevant to their field of work, as well as the Moving Forward chapters that cover ethical and legal aspects. Academics who are interested in studying privacy or privacy-related topics will find a broad introduction in both technical and social aspects.Table of Contents1. Introduction and Overview.- Part I: Privacy Theory and Methods.- 2. Privacy Theories and Frameworks.- 3. Revisiting APCO.- 4. Privacy and Behavioral Economics.- 5. The Development of Privacy Norms.- 6. Privacy Beyond the Individual Level.- Part II: Domains.- 7. Social Media and Privacy.- 8. Privacy-Enhancing Technologies.- 9. Tracking and Personalization.- 10. Healthcare Privacy.- 11. Privacy and the Internet of Things.- Part III: Audiences.- 12. Cross-Cultural Privacy Differences.- 13. Accessible Privacy.- 14. Privacy in Adolescence.- 15. Privacy and Vulnerable Populations.- Part IV: Moving Forward.- 16. User-Tailored Privacy.- 17. The Ethics of Privacy in Research and Design: Principles, Practices, and Potential.- 18. EU GDPR: Toward a Regulatory Initiative for Deploying a Private Digital Era.- 19. Reflections: Bringing Privacy to Practice.

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Book Synopsis.- An Evolutionary Game Theoretic-Based Approach to Task Offloading in Hybrid Vehicular Cloud-Edge Environment..- Securing Child Health Records With RSA-Encrypted NFTs and Smart Contract on the Blockchain..- A Novel Redundant Service Caching and Task Offloading Method in Mobile Edge Computing..- RBLA: Rank-Based-LoRA-Aggregation for Fine-Tuning Heterogeneous Models in FLaaS..- User Preference-Informed and Mobility-Aware Caching in a Cooperative MEC Environment..- Personalized Mobility-Aware Caching Strategies in Multi-Access Edge Computing..- Workflow Task Offloading Upon MEC: A Novel Mobility-Aware and Clustering-Based Approach..- PLNCaE: Advanced Framework for Preprocessed Lightweight Neural Networks in Brain Tumor Classification and Explanation..- MSC: A Framework With Advanced Sampling Methods for Skin Cancer Classification.

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Book Synopsis.- Sustainable Development Goals; Energy and Carbon Efficiency; and conceptualizations of diversity...- Decoupled Recommender Systems: Exploring Alternative Recommender Ecosystem Designs..- Enhancing Tourism Recommender Systems for Sustainable City Trips Using Retrieval-Augmented Generation..- Simulating the Impact of Recommendation Salience on Tourists Experienced Utility..- Knowledge Data Modeling in Food Recommendation: A Case Study on Nutritional Values..- Modeling Social Media Recommendation Impacts Using Academic Networks: A Graph Neural Network Approach..- Green Recommender Systems: Optimizing Dataset Size for Energy-Efficient Algorithm Performance..- EMERS: Energy Meter for Recommender Systems..- e-Fold Cross-Validation for Recommender-System Evaluation..- RecSys CarbonAtor: Predicting Carbon Footprint of Recommendation System Models..- Eco-Aware Graph Neural Networks for Sustainable Recommendations..- 14 Kg of CO2: Analyzing the Carbon Footprint and Performance of Session-Based Recommendation Algorithms..- From Explanation to Exploration: promoting DivErsity in Recommendation Systems..- Effects of Representation Nudges on the Perception of Playlist Recommendations.

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Book SynopsisPart I Overview.- Chapter 1 Introduction.- Part II Data De-Anonymisation.- Chapter 2 De-Anonymisation Mechanisms - An Overview.- Part III Anonymisation Approaches,- Chapter 3 Multi-Objective Anonymisation.- Chapter 4 High-Dimensional Data - Privacy Considerations.- Chapter 5 Accounting for User Privacy Preferences.- Part IV Usable Privacy - A Discussion.- Chapter 6 Privacy Recommender Systems.- Chapter 7 Identifying Personal Information in Textual Data.- Part V Conclusions and Future Work.- Chapter 8 Conclusions.- Appendix 1.- Appendix 2.- Glossary.- Index.

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Book Synopsis.- Blockchain and Data Mining..- Intrusion Anomaly Detection with Multi-Transformer..- A Federated Learning Method Based on Linear Probing and Fine-Tuning..- Facilitating Feature and Topology Lightweighting: An Ethereum Transaction Graph Compression Method for Malicious Account Detection..- A Secure Hierarchical Federated Learning Framework based on FISCO Group Mechanism..- Research on Network Traffic Anomaly Detection Method Based on Deep Learning..- Hyper-parameter Optimization and Proxy Re-encryption for Federated Learning..- Data Security and Anomaly Detection..- Exploring Embedded Content in the Ethereum Blockchain: Data Restoration and Analysis..- Task Allocation and Process Optimization of Data, Information, Knowledge, and Wisdom (DIKW)-based Workflow Engine..- Location Data Sharing Method Based on Blockchain and Attribute-Based Encryption..- Implicit White-Box Implementations of Efficient Double-Block-Length MAC..- A Survey on Blockchain Scalability..- Supply Chain Financing Model Embedded with Full-Process Blockchain..- Blockchain Performance Optimization..- ReCon: Faster Smart Contract Vulnerability Detection by Reusable Symbolic Execution Tree..- SVD-SESDG: Smart Contract Vulnerability  Detection Technology via Symbol Execution and  State Variable Dependency Graph..- Dual-view Aware Smart Contract Vulnerability Detection for Ethereum..- Blockchain Layered Sharding Algorithm Based on Transaction Characteristics..- An Empirical Study on the Performance of EVMs and Wasm VMs for Smart Contract Execution..- Ponzi Scheme Detection in Smart Contracts Using Heterogeneous Semantic Graph.

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