Utilizing generative AI for cyber defense strategies /

Bibliographic Details
Main Author:	Jhanjhi, Noor Zaman (Author)
Format:	eBook
Language:	English
Published:	Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, 2025.
Series:	Advances in digital crime, forensics, and cyber terrorism (ADCFCT) book series.
Subjects:	Artificial intelligence. Computer security. Information storage and retrieval systems > Management. Information technology > Management. Data privacy. Data protection. Intelligence artificielle. Sécurité informatique. Technologie de l'information > Gestion. Confidentialité des données. Protection de l'information (Informatique) artificial intelligence. Anomaly Detection. Authentication Technologies. Behavior Analysis. Cyber Security. Data Analytics. Deep Learning. Defense Strategies. Federated Learning. Generative AI. Information Sharing. Internet of Things (IoT) Malware. Risk Assessment and Mitigation. Threat Intelligence. Variational Autoencoders (VAEs) Electronic books.

Table of Contents:

Preface
Chapter 1. Federated Learning for Collaborative Cyber Defense
Chapter 2. Risk Assessment and Mitigation With Generative AI Models
Chapter 3. Dynamic Defense Strategies With Generative AI
Chapter 4. Unleashing the Power of Generative Adversarial Networks for Cybersecurity: Proactive Defense and Innovation
Chapter 5. Enhancing Security Through Generative AI-Based Authentication
Chapter 6. Generative AI for Threat Intelligence and Information Sharing
Chapter 7. Generative AI for Threat Hunting and Behaviour Analysis
Chapter 8. A Methodical Approach to Exploiting Vulnerabilities and Countermeasures Using AI
Chapter 9. Variational Autoencoders (VAEs) for Anomaly Detection
Chapter 10. A Novel Approach for Intrusion Detection System Using Deep Learning Architecture
Chapter 11. A New Approach for Detecting Malware Using a Convolutional Autoencoder With Kernel Density Estimation
Chapter 12. Scouting the Juncture of Internet of Things (IoT), Deep Learning, and Cybercrime: Powering Legal Perspectives on Advanced Data Analytics
Chapter 13. Muscles of Deep Learning (DL) and Internet of Things (IoT) in Cyber Crimes Investigation: Legal Dimensions in Space-Age Data Analytics
Chapter 14. Safeguarding the Future: Advancements in Cybersecurity via Generative AI
Compilation of References
About the Contributors
Index.