Generative AI for Cybersecurity and Privacy by Youssef Baddi (.ePUB)+

File Size: 23.3 MB

Generative AI for Cybersecurity and Privacy by Youssef Baddi, Yassine Maleh, Izzat Alsmadi, Mohamed Lahby
Requirements: .ePUB, .PDF reader, 23.3 MB
Overview: 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.
Genre: Non-Fiction > Tech & Devices

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