AI Based Cybersecurity Management (Hardcover, 1)

1. From Reactive to Proactive: Leveraging Generative AI for Predictive Cybersecurity. 2. Machine Learning Approach to Cryptocurrency Price Prediction: Leveraging Social Media and Market Data. 3. Blockchain Technology for Securing Digital Economics. 4. Cryptographic Innovations for Securing the Digital Economy: Modern Techniques and their Impact. 5. Exploring the Relationship Between Bitcoin Price and Bitcoin Sentiment Index: An ARDL and SHAP Analysis. 6. AI-Driven Detection and Prevention of Financial Manipulation in Social Media. 7. Mitigating Cyber Risks in The Digital Age: A Guide to Cybersecurity Management. 8. Digital Economy Security: Challenges and Solutions. 9. Dual-Defense Framework Based on Cosine Similarity and Differential Privacy for Thwarting Poisoning Patterns in AI Federated Learning. 10. Leveraging Artificial Intelligence-Driven Deep Neural Networks to Thwart Adversaries in Web-Based Systems.

Security Issues in Communication Devices, Networks and Computing Models : Volume 1 (Paperback)

1. Clean Architecture in mobile development by practice, 2. Declarative iOS programming and architectural patterns, 3. Android malware prediction model using a hybrid machine learning approach for cybersecurity, 4. Dissecting PREFETCHX: Understanding cross-core attacks in hardware security, 5. Exploring the semantic web in healthcare, 6. Using data-driven approaches to enhance rider experience via Wi-Fi and Bluetooth, 7. Cooperative spectrum sensing using random forest algorithm over Rayleigh fading channel, 8. A novel approach to face recognition for smart attendance-monitoring systems, 9. Fingerprint-based security system for mitigating voting corruption, 10. PCG classification using scalogram and CNN classifier, 11. Unlocking AI’s potential for optimizing personalized treatment plans and predicting lung cancer, 12. Developing WBAN with secure data access and improved hybrid blockchain techniques, 13. Gesture recognition gloves for sign language translation, 14. Photoacoustic tomography: Breast cancer detection using point spread function, 15. A computationally efficient image encryption technique using a 4D chaotic system (CIE4DC) in a dynamic network, 16. Data science applications in healthcare data transmission, 17. Secure and scalable data analysis framework with quantum machine learning and blockchain, 18. Enhancing privacy in big data analytics with blockchain-based frameworks, 19. Enhancing network security management with scalable blockchain models, 20. Mathematical modeling for identification using fuzzy matching system, 21. Performance evaluation of a pre-compensated ROF system, 22. Robust and imperceptible dual watermarking for watershed images

Cybersecurity in Knowledge Management : Cyberthreats and Solutions (Paperback)

Editors Contributing Authors Foreword Preface Chapter 1 The Role of AI and Machine Learning in KM and Cybersecurity Rahul Dasari Narasimha Rao Vajjhala Mathias Mbu Fonkam Chapter 2 Critically Analyzing Cybercrime Resilience Problems in the European Supply Chain Industry: A Preliminary Best Practice Radial Model Kenneth David Strang Bulcsu Szekely Chapter 3 Supply Chain Vulnerabilities in Knowledge Systems J. Sudarvel R. Velmurugan S. Senthilkumar Ravi Thirumalaisamy R. Sankar Ganesh Chapter 4 Strategies for Secure Knowledge Management: An In-Depth Analysis of Educational Data Protection Trends and Themes Eriona Cela Alexey Vedishchev Narasimha Rao Vajjhala Chapter 5 Cybersecurity: Trends and Challenges in Academia Ritu Pareek Chapter 6 Cases of Real-world Cybersecurity Breaches and Insider Threats to Entrepreneurship: Exploring Implications for Knowledge Management Lukman Raimi Chapter 7 The Language of Hate: An Exploration of Cyberbullying and Hate Speech Using Artificial Intelligence Techniques Swati Maste Chinmayi Shetty Pallavi Prabhu Richa Sharma Arti Arya Chapter 8 Combatting Cyberthreats in African Digital Space with Artificial Intelligence Basil Osayin Daudu Goddy Uwa Osimen Chapter 9 Enhancing Knowledge Management Integrity through Fake News Detection: A Hybrid LSTM-XGBoost Approach for Cybersecurity MV Sujan Kumar Ganesh Khekare Anurup Sankriti Chapter 10 An In-Depth Comparative Analysis of Malware Classification Techniques Dipesh Vaya Rakesh Kumar Saxena Chapter 11 Safeguarding Knowledge Assets: Exploring the Nexus of Human Factors, Organizational Culture, and Social Engineering in KM Security Manas Kumar Yogi Dwarampudi Aiswarya Chapter 12 The Role of Knowledge Management in Cybersecurity for Digital Marketing Campaigns Rajasekhara Mouly Potluri Yerzhan B. Mukashev Lohith Sekhar P...


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Step Back from the Edge of Disaster : Addressing Cybersecurity Challenges for Business Leaders in the Age of AI (Paperback)

PART I. THE IMPERATIVE FOR BUSINESS LEADERS. Chapter 1. The Importance of Cybersecurity for Business Leaders. Chapter 2. Cyber Leadership Governance and Associated Board Matters. PART II. RESILIENCE. Chapter 3. Leading the Organization by Adopting a Culture of Resilience. PART III. EXPOSURE. Chapter 4. Holistic Cybersecurity using Key Principles, Customer First, the Four Horsemen of Cyberpocalypse and Time2Pivot. PART IV. MATURITY. Chapter 5. Core Business Models for Cybersecurity Success. PART V. STRATEGY. Chapter 6. Building A Highly Effective Cyber Team. Chapter 7. Successful Cyber Operations and Team Structure. Chapter 8. Leading a Highly Effective Cyber Team. Chapter 9. Improving Staff Resilience and Dealing with Cyber Fatigue. Chapter 10. Recruiting the Best. Chapter 11. Technological Innovation ? AI, Robotics and Quantum Computing but Mostly AI. Chapter 12. Cyber Myths, Legends, and Faulty Thinking Patterns.

Step Back from the Edge of Disaster : Addressing Cybersecurity Challenges for Business Leaders in the Age of AI (Hardcover)

PART I. THE IMPERATIVE FOR BUSINESS LEADERS. Chapter 1. The Importance of Cybersecurity for Business Leaders. Chapter 2. Cyber Leadership Governance and Associated Board Matters. PART II. RESILIENCE. Chapter 3. Leading the Organization by Adopting a Culture of Resilience. PART III. EXPOSURE. Chapter 4. Holistic Cybersecurity using Key Principles, Customer First, the Four Horsemen of Cyberpocalypse and Time2Pivot. PART IV. MATURITY. Chapter 5. Core Business Models for Cybersecurity Success. PART V. STRATEGY. Chapter 6. Building A Highly Effective Cyber Team. Chapter 7. Successful Cyber Operations and Team Structure. Chapter 8. Leading a Highly Effective Cyber Team. Chapter 9. Improving Staff Resilience and Dealing with Cyber Fatigue. Chapter 10. Recruiting the Best. Chapter 11. Technological Innovation ? AI, Robotics and Quantum Computing but Mostly AI. Chapter 12. Cyber Myths, Legends, and Faulty Thinking Patterns.

An Introduction to Network Security : Data Analysis Approach (Paperback)

Chapter 1: Introduction to Dark Patterns. 1.1 Introduction and Background. 1.2 Core Concepts and Foundations. 1.3 Classification and Types of Dark Patterns. 1.4 Technological Underpinnings. 1.5 Applications and Real-World Case Studies. 1.6 Impact Assessment and Consequences. 1.7 Regulatory and Ethical Considerations. 1.8 Detection and Mitigation Strategies. 1.9 Future Directions. 1.10 Conclusion. Chapter 2: The Psychology behind Dark Patterns. 2.1 Introduction. 2.2 Psychological Mechanisms behind Manipulative Interfaces. 2.3 Cognitive Biases and Decision Making in Digital Environments. 2.4 The Ethics of Persuasive and Deceptive Design. 2.5 Common Types of Dark Patterns in Contemporary Platforms. 2.6 The Impact of Dark Patterns on User Autonomy and Trust. 2.7 Privacy, Consent, and the Role of Deceptive Interface Design. 2.8 Dark Patterns as Emerging Cybersecurity Concerns. 2.9 Conversational Dark Patterns in Large Language Models. 2.10 Case Studies from E-Commerce, Social Media, and Mobile Applications. 2.11 Ethical Design Practices and Security-Oriented Mitigation Strategies. 2.12 Future Challenges in Governing Manipulative Design. 2.13 Conclusion. Chapter 3: AI as a Tool for Ethical Design: Confronting Dark Patterns. 3.1 Introduction. 3.2 Review on the Conceptual Foundation and Ethical Challenges of AI and AR and Dark Pattern. 3.3 Dark Patterns in the Age of AI: Ethical and Regulatory Challenges. 3.4 Results and Analysis. 3.5 Conclusion. Chapter 4: DeceptiTech ? AI-Driven Detection and Analysis of Dark Patterns. 4.1 Introduction, Problem & Motivation. 4.2 Literature Review. 4.3 Proposed Methodology. 4.4 Experimental Results and Discussion. 4.5 Conclusion. 4.6 Limitations and Future Enhancements. Chapter 5: The Intersection of Dark Patterns and Cybersecurity. 5.1 Introduction. 5.2 Background. 5.3 Mechanisms Linking Dark Patterns to Cyber Threats. 5.4 Results and Analysis. 5.5 Conclusion. Chapter 6: Multimodal Machine Learning for Automated Detection of Dark Pa...


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An Introduction to Network Security : Data Analysis Approach (Hardcover)

Chapter 1: Introduction to Dark Patterns. 1.1 Introduction and Background. 1.2 Core Concepts and Foundations. 1.3 Classification and Types of Dark Patterns. 1.4 Technological Underpinnings. 1.5 Applications and Real-World Case Studies. 1.6 Impact Assessment and Consequences. 1.7 Regulatory and Ethical Considerations. 1.8 Detection and Mitigation Strategies. 1.9 Future Directions. 1.10 Conclusion. Chapter 2: The Psychology behind Dark Patterns. 2.1 Introduction. 2.2 Psychological Mechanisms behind Manipulative Interfaces. 2.3 Cognitive Biases and Decision Making in Digital Environments. 2.4 The Ethics of Persuasive and Deceptive Design. 2.5 Common Types of Dark Patterns in Contemporary Platforms. 2.6 The Impact of Dark Patterns on User Autonomy and Trust. 2.7 Privacy, Consent, and the Role of Deceptive Interface Design. 2.8 Dark Patterns as Emerging Cybersecurity Concerns. 2.9 Conversational Dark Patterns in Large Language Models. 2.10 Case Studies from E-Commerce, Social Media, and Mobile Applications. 2.11 Ethical Design Practices and Security-Oriented Mitigation Strategies. 2.12 Future Challenges in Governing Manipulative Design. 2.13 Conclusion. Chapter 3: AI as a Tool for Ethical Design: Confronting Dark Patterns. 3.1 Introduction. 3.2 Review on the Conceptual Foundation and Ethical Challenges of AI and AR and Dark Pattern. 3.3 Dark Patterns in the Age of AI: Ethical and Regulatory Challenges. 3.4 Results and Analysis. 3.5 Conclusion. Chapter 4: DeceptiTech ? AI-Driven Detection and Analysis of Dark Patterns. 4.1 Introduction, Problem & Motivation. 4.2 Literature Review. 4.3 Proposed Methodology. 4.4 Experimental Results and Discussion. 4.5 Conclusion. 4.6 Limitations and Future Enhancements. Chapter 5: The Intersection of Dark Patterns and Cybersecurity. 5.1 Introduction. 5.2 Background. 5.3 Mechanisms Linking Dark Patterns to Cyber Threats. 5.4 Results and Analysis. 5.5 Conclusion. Chapter 6: Multimodal Machine Learning for Automated Detection of Dark Pa...


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Networked Systems: 14th International Conference, Netys 2026, Agadir, Morocco, June 10-12, 2026, Proceedings (Paperback)

Computer Science and Education in Computer Science: 21st Eai International Conference, Csecs 2025, Bratislava, Slovak Republic, July 1-3, 2025, Procee (Paperback)

Future Access Enablers for Ubiquitous and Intelligent Infrastructures: 9th Eai International Conference, Fabulous 2025, Star?Lesn? Slovakia, October (Paperback)

Security and Privacy in Communication Networks: 22nd Eai International Conference, Securecomm 2026, Lancaster, Uk, July 21-24, 2026, Proceedings, Part (Paperback)

Security and Privacy in Communication Networks: 22nd Eai International Conference, Securecomm 2026, Lancaster, Uk, July 21-24, 2026, Proceedings, Part (Paperback)

Privacy and Identity Management. Privacy and Data Protection in a Rapidly Changing World: 20th Ifip Wg 9.6/11.7 and Ifip Wg 11.6 International Summer (Hardcover)

Communication and Intelligent Systems: Proceedings of Iccis 2025, Volume 6 (Paperback)

Distributed Computer and Communication Networks: 28th International Conference, Dccn 2025, Moscow, Russia, September 22-26, 2025, Revised Selected Pap (Paperback)

Applications of AI and LLMs in Production and Services Industries (Hardcover, 1)

1. Introduction to AI and LLM in Production and Services. 2. AI Application in Production System. 3. Role of LLMs in Service Industries. 4. Generative AI in Production and Services. 5. Predictive Analysis and Decision Making. 6. Enhancing Operational Efficiency through Artificial Intelligence and Large Language Models. 7. Automation and Smart Manufacturing. 8. LLM Applications for Customer Experience. 9. Ethical and Societal Considerations. 10. Case Studies in AI and LLM Integration. 11. Future Trends in AI and LLMs Technologies. 12. Conclusion and Roadmap for AI and LLM. 13. Future Trends in AI and LLMs. 14. Case Studies in AI and LLM Integration. 15. From Automation to Augmentation: Enhancing Operational Efficiency with AI and LLMs. 16. Harnessing Artificial Intelligence and Large Language Models for Automation and Smart Manufacturing in Production and Service Industries. 17. Blockchain Technology with Artificial Intelligence Technology in Computer Information Security. 18. Applications of Deep Learning Technology for Mobile Computing. 19. Increasing Resilience and Fortifying Organizational Cybersecurity Provision with the Use of Sociocultural and Artificial Intelligence.

Threat-Driven Software Development: Defending Online Services from Modern Threat Actors (Paperback)

Digital Innovations for Environmental Sustainability: Smart Technologies in Green Governance (Hardcover)

Artificial Intelligence and Knowledge Economy: Contributions to Education and Research Excellence (Hardcover)

Reorienting the Digital: Ethics, Ontology and Sustainable Futures: 19th Ifip Wg 9.4 International Conference, Ict4d 2026, Kathmandu, Nepal, May 25-27, (Hardcover)

Reorienting the Digital: Ethics, Ontology and Sustainable Futures: 19th Ifip Wg 9.4 International Conference, Ict4d 2026, Kathmandu, Nepal, May 25-27, (Hardcover)

Explainable AI Models for Cloud-Iot Security and Reliability: Cloud-Iot Security and Reliability (Hardcover)

Resource Management for Satellite-Terrestrial Vehicular Networks (Paperback)

Channel-Awareness and Dependability in Industrial Internet of Things (Hardcover)