Generative AI for Cybersecurity and Privacy

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.