Description
Generative AI for Cybersecurity and Privacy offers a groundbreaking exploration of how generative artificial intelligence is reshaping the landscape of cybersecurity and privacy protection in an era of rapid digital transformation. As cyber threats grow in sophistication and scale, this book provides a timely and authoritative guide to harnessing generative AI to safeguard digital ecosystems, secure sensitive data, and address emerging challenges across diverse domains.
Spanning a series of expertly curated chapters, this volume delves into cutting-edge advancements and practical applications of generative AI in cybersecurity. It covers critical areas such as AI-driven threat detection and response, privacy-preserving AI models, secure IoT and cloud computing frameworks, and robust defenses for cyber-physical systems, including Smart Cities and wireless networks. The book balances rigorous theoretical foundations with real-world case studies, making it an essential resource for researchers, security professionals, policymakers, and organizational leaders.
The book offers comprehensive coverage of key topics, including:
• Leveraging generative AI for proactive threat detection, risk analysis, and automated incident response
• Innovative approaches to data privacy, compliance, and governance in AI-driven systems
• Advanced methodologies for securing IoT, mobile applications, and cloud infrastructures
• Practical frameworks for integrating generative AI into cybersecurity strategies for critical infrastructures
• Emerging applications of generative AI in personalized, secure digital experiences, such as e-commerce and smart systems
Reviews
There are no reviews yet.