Generative AI for Cybersecurity and Privacy

1. Auflage 2025
ISBN: 978-1-032-98020-1
Verlag: Taylor & Francis Ltd

Buch, Englisch, 336 Seiten, Format (B × H): 156 mm x 234 mm

In the context of current technological trends, the forthcoming book "Generative AI for Cybersecurity and Privacy" will address significant issues in this evolving field. To ensure practical and scientific relevance, the book aims to present chapters on recent advancements and innovative ideas, focusing on how generative AI can enhance cybersecurity and protect privacy. This comprehensive resource will explore the progress of research and practical applications of generative AI, addressing the key challenges faced by individuals, organizations, and nations.

This proposal book, titled 'Generative AI for Cybersecurity and Privacy,' explores cybersecurity and privacy issues and challenges faced by organizational managers and policymakers. It examines how Generative AI can be leveraged to address these challenges.

The book delves into how researchers and practitioners are investigating the cybersecurity and privacy landscape across various domains, including cloud computing, IoT, mobile applications, and wireless networks. It will showcase how Generative AI is being harnessed to develop solutions against both known and emerging cyber threats.

This book fosters collaboration between academia and industry by encouraging researchers and practitioners to share their experiences and latest findings. Its key objectives are:

• Raising awareness of evolving cybersecurity threats and Privacy issues.
• Providing a comprehensive analysis of current cybersecurity risk analysis techniques and methodologies.
• Examining cutting-edge solutions for emerging cybersecurity and Privacy challenges.
• Proposing innovative models, practical applications, and technological advancements for effective cybersecurity and privacy.

Zielgruppe

Professional Practice & Development, Professional Reference, and Professional Training

Autoren/Hrsg.

Alsmadi, Izzat

Baddi, Youssef

Lahby, Mohamed

Maleh, Yassine

Fachgebiete

• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit Schadprogramme (Viren, Trojaner etc.)
• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit Kryptographie, Datenverschlüsselung
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Netzwerksicherheit
• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit Datensicherheit, Datenschutz

Inhaltsverzeichnis

Part I: Foundations and Core Concepts 1. A Systematic Review of Machine Learning and Deep Learning Applications in Information Security 2. Impact of Generative AI on Cybersecurity and Data Privacy Part II: Applications in Threat Detection and Defense 3. Generative Adversarial Networks for Intrusion and Malware Detection 4. Harnessing Generative AI for Enhanced Cybersecurity in E-Health Systems 5. Leveraging Generative AI for Enhancing SDN Security: A Two-Level Classification Framework Against Relay-Based Link Fabrication Attacks Part III: Sector-Specific Use Cases 6. Adoption of Artificial Intelligence in Smart Cities: Literature Review and Bibliometric Analysis 7. Securing AI in Agriculture: Emerging Cyber Threats, Vulnerabilities, and Resilience Strategies 8. Blockchain-SDN-Based Secure Architectures for Industrial IoT 9. Towards Next-Generation Cyber Threat Intelligence in Edge-IoT: A Synergy of Generative AI, Federated Learning, and Blockchain Part IV: Ethics, Education, and Future Directions 10. Higher Education and Generative AI – Applications, Challenges, and Ethics 11. On Exploring Generative AI for Privacy Preservation in IoT Ecosystems 12. Navigating Dualities – The Role of Generative AI in Cybersecurity for Defense and Attacks 13. Generative AI-Driven Penetration Testing: Frameworks, Methodologies, and Ethical Considerations

Über Autor(innen)

The authors of this book hold Ph.D degrees, and they have published many journal articles and book chapters. Dr.Yassine Maleh is the author of many published books with well-known publishers like CRC Press and Springer.