1st Edition

Generative AI for Cybersecurity and Privacy

302 Pages 54 B/W Illustrations

by CRC Press

302 Pages 54 B/W Illustrations

by CRC Press

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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,... Read more

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

Authored by a global team of leading researchers and practitioners, this book stands out by not only addressing current cybersecurity and privacy challenges but also proposing forward-thinking, scalable solutions powered by generative AI. Unlike traditional resources, it emphasizes the transformative potential of AI in revolutionizing risk analysis, threat mitigation, and privacy preservation across multiple domains. Whether you’re navigating the complexities of IoT, cloud security, or emerging cyber threats, Generative AI for Cybersecurity and Privacy equips you with the knowledge and tools to build intelligent, secure, and future-ready strategies for a dynamic digital world.

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PART I Foundations and core concepts 1

1 A systematic review of machine learning and deep learning applications in information security governance

ABDULAZIZ ABORUJILAH, SABAA AHMED YAHYA AL-GALAL, SAMIR HAMMAMI, MOHAMMED AL-SAREM, AND AKRAM BENNOUR

2 Impact of generative IA in cybersecurity and data privacy

HAJAR FARES, NOURA AKNIN, AND YOUSSEF BADDI

PART II Applications in threat detection and defense

3 Generative adversarial networks for intrusion and malware detection

AKRAM CHHAYBI AND SAIIDA LAZAAR

4 Harnessing generative AI for enhanced cybersecurity in E-Health systems

C. V. SURESH BABU, V. L. KALYAN KUMAR, A. S. AKSHAYA, AND A. JESWIN FRANCIS

5 Leveraging generative AI for enhancing SDN security

ILYASSE MELLAL, ABDERRAHIM AIT WAKRIME, ANIS LAOUITI, AND KHAOULA BOUKIR

PART III Sector-specific use cases

6 Adoption of artificial intelligence in smart cities: Literature review and bibliometric analysis

TAOUFIQ EL MOUSSAOUI, CHAKIR LOQMAN, AND ALAA EDDINE EL MOUSSAOUI

7 Securing AI in agriculture: Emerging cyber threats, vulnerabilities, and resilience strategies

RACHID BATESS, RALF LEITER, YOUNES EL FELLAH, AND EL HOSSAIN BAALI

8 Secure architecture for multi-edge computing in industrial IoT based on blockchain and SDN

JIHAD KILANI, YOUSSEF BADDI, AND FAIÇAL BENSALAH

9 Toward next-generation cyber threat intelligence in Edge-IoT: A synergy of generative AI, federated learning, and blockchain

WISSAL LAZRAQ AND SAMIA EL HADDOUTI

PART IV Ethics, education, and future directions

10 Higher education and generative artificial intelligence: Applications, challenges, opportunities, and ethics

KAOUNI MOUNA, LAKRAMI FATIMA, LAOUIDYA OUIDAD, AND BADDI YOUSSEF

11 On exploring generative AI for privacy preservation in IoT ecosystems

HAFSSA BENABOUD, HIBA KANDIL, AND SAIIDA LAZAAR

12 Navigating dualities: Generative AI’s role in cybersecurity for defense and attacks

GARRETT CRUMRINE, MICHAEL J. O’BRIEN, IZZAT ALSMADI, AND YUVARAJ MUNIAN

13 Generative AI-driven penetration testing: Frameworks, methodologies, and ethical considerations

YASSINE MALEH

Editor(s)

Biography

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.

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Generative AI for Cybersecurity and Privacy

Description

Table of Contents

Editor(s)

Biography

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