Reshaping CyberSecurity With Generative AI Techniques

Reshaping CyberSecurity With Generative AI Techniques

Projected Release Date: July, 2024|Copyright: © 2025 |Pages: 330
DOI: 10.4018/979-8-3693-5415-5
ISBN13: 9798369354155|ISBN13 Softcover: 9798369354162|EISBN13: 9798369354179
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Description & Coverage
Description:

The constantly changing digital environment of today makes cybersecurity an ever-increasing concern. With every technological advancement, cyber threats become more sophisticated and easily exploit system vulnerabilities. This unending attack barrage exposes organizations to data breaches, financial losses, and reputational harm. The traditional defense mechanisms, once dependable, now require additional support to keep up with the dynamic nature of modern attacks.

Reshaping CyberSecurity With Generative AI Techniques offers a transformative solution to the pressing cybersecurity dilemma by harnessing the power of cutting-edge generative AI technologies. Bridging the gap between artificial intelligence and cybersecurity presents a paradigm shift in defense strategies, empowering organizations to safeguard their digital assets proactively. Through a comprehensive exploration of generative AI techniques, readers gain invaluable insights into how these technologies can be leveraged to mitigate cyber threats, enhance defense capabilities, and reshape the cybersecurity paradigm.

With practical guidance on implementing generative AI solutions for various cybersecurity challenges, this book equips cybersecurity professionals, researchers, and enthusiasts with the knowledge and tools needed to navigate the complexities of the digital age. From defending against adversarial attacks to revolutionizing incident response, each chapter offers actionable insights supported by real-world case studies and expert analysis.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Adversarial Attack Defense
  • AI-Enhanced Dynamic Defense Strategies
  • Applications of Generative AI in Cybersecurity
  • Building Resilient Systems
  • Deep Learning for Threat Detection and Analysis
  • Enhancing Security Through Generative AI-Based Authentication
  • Ethical Considerations in Generative AI-Powered Cybersecurity
  • Federated Learning for Collaborative Cyber Defense
  • Generative Adversarial Networks (GANs) in Cybersecurity
  • Generative AI for Threat Hunting and Behavior Analysis
  • Generative AI for Threat Intelligence and Information Sharing
  • Generative AI in Network Security and Intrusion Detection
  • Generative AI-Based Forensics and Incident Response
  • Leveraging Generative AI for Secure Communication Protocols
  • Privacy-Preserving Techniques
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Editor/Author Biographies
Noor Zaman Jhanjhi is currently working as a Professor in Computer Science (Cybersecurity and AI), Program Director for the Postgraduate Research Degree Programmes in computer science, Director of the Center for Smart Society (CSS5) at the School of Computer Science at Taylor’s University, Malaysia. He has been nominated as the world’s top 2% research scientist globally consecutive for 2022, and 2023; he is among the top five computer science researchers in Malaysia and was nominated as an Outstanding Faculty Member by the MDEC Malaysia for the year 2022. He has highly indexed publications in WoS/ISI/SCI/Scopus, and his collective research Impact factor is more than 1000 plus points. His Google Scholar H index is 60, and I-10 Index is close to 277, and his Scopus H index is 39, with more than 600 publications on his credit. He has several international patents on his account, including Australian, German, UK, and Japanese patents. He edited/authored over 50 research books published by world-class publishers, including Springer, IGI Global USA, Taylors and Frances, IET, Willeys, Intech Open, etc. He has excellent experience supervising and co-supervising postgraduate students, and more than 38 Postgraduate scholars graduated under his supervision. Prof. Jhanjhi serves as Associate Editor and Editorial Assistant Board for several reputable journals, such as PeerJ Computer Science, CMC Computers, Materials & Continua, Computer Systems Science and Engineering CSSE, Frontier in Communication and Networks, etc. He received the Outstanding Associate Editor award for IEEE ACCESS. Active reviewer for a series of top-tier journals has been awarded globally as a top 1% reviewer by Publons (Web of Science). He is an external Ph.D./Master thesis examiner/evaluator for several universities globally and has evaluated 60 plus theses. He has completed more than 40 internationally funded research grants successfully. He has been a keynote/invited speaker for over 60 international conferences and has chaired international conference sessions. He has vast experience in academic qualifications, including ABET, NCAAA, and NCEAC, for 10 years. His research areas include Cybersecurity, IoT security, Wireless security, Data Science, Software Engineering, and UAVs.
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