This book provides a comprehensive guide to integrating Artificial Intelligence (AI), Large Language Models (LLMs), and quantum-safe security mechanisms into modern cybersecurity practices. It begins by examining the evolving cyber threat landscape and the growing need for intelligent, adaptive defense mechanisms. Also, the role of AI, LLMs, and quantum computing in cybersecurity, outlining the books objectives and structure are introduced. The fundamentals of LLM architectures and training methodologies are explored, followed by their practical applications in threat detection, malware analysis, phishing prevention, and automated incident response.
Practical integration of LLMs into cybersecurity frameworks is discussed, including enhancements to intrusion detection systems, security information, Event Management (SIEM) platforms, and real-time threat intelligence. Real-world case studies highlight successful deployments. This book also addresses key challenges such as interpretability, scalability, ethical concerns, bias, and adversarial vulnerabilities, offering mitigation strategies and best practices. The quantum computing section examines threats to classical cryptography and presents quantum-safe solutions, including post-quantum cryptography and Quantum Key Distribution (QKD). The convergence of AI and quantum-safe security is explored, showing how LLMs can support quantum-resilient defenses.
This book is designed for cybersecurity professionals, researchers, and policymakers seeking effective strategies to secure increasingly complex digital environments. Advanced-level students majoring in computer science and/or ML/DL engineering will also find this book useful as a reference.
Chapter
1. Introduction.
Chapter
2. Foundations of Large Language
Models in Cybersecurity.
Chapter
3. Integrating LLMs into Cyber Defense
Strategies.
Chapter
4. Challenges and Limitations of LLMs in Cybersecurity.-
Chapter
5. Quantum Computing: A New Paradigm in Cybersecurity.
Chapter
6.
Quantum-Safe Security Measures.
Chapter
7. Synergizing LLMs and Quantum-Safe
Security.
Chapter
8. Future Trends and Research Directions.
Prof. Brij B. Gupta is working as Director of International Center for AI and Cyber Security Research and Innovations, and Distinguished Professor with the Department of Computer Science and Information Engineering (CSIE), Asia University, Taiwan. In more than 20 years of his professional experience, he published over 600 papers in journals/conferences including 35 books and 12 Patents with over 40,000 citations. He has received numerous national and international awards including Canadian Commonwealth Scholarship (2009), Faculty Research Fellowship Award (2017), MeitY, GoI, IEEE GCCE outstanding and WIE paper awards and Best Faculty Award (2018 & 2019), respectively. Prof. Gupta has been recognized as a Clarivate Web of Science Highly Cited Researcher (top 0.1% globally) in Computer Science for both 2022 and 2023. Additionally, he has been ranked among the top 2% of scientists worldwide by Stanford University for four consecutive years (2020-2024). He is also an IEEE Senior Member (2017) and also selected as 2021 Distinguished Lecturer in IEEE CTSoc. Dr Gupta is also serving as Member-in-Large, Board of Governors, IEEE Consumer Technology Society (2022-2024). Prof Gupta is also leading IJSWIS, IJSSCI, and IJCAC as Editor-in-Chief. Moreover, he is also serving as lead-editor of a Book Series with CRC and IET press. He also served as TPC members in more than 200 international conferences also serving/ served as Associate/Guest Editor of various journals and transactions IEEE TII, IEEE TITS, IEEE IoTJ, IEEE TCE, IEEE Big Data, IEEE CEM, IEEE IoTM, FGCS, ASoC. He also organized special track/ session chairs in ICCE 2021 Las Vegas, GCCE 2014-2021, TPC Chair in 2018 INFOCOM:CCSNA Workshop, Publicity Co-chair in 2020 ICCCN, and Symposium Chair Big Data in IEEE ICC 2025. His research interests include information security, Cyber physical systems, cloud computing, blockchain technologies, intrusion detection, AI, social media and networking.
Prof. Amiya Nayak is a Full Professor at the University of Ottawa's School of Electrical Engineering and Computer Science (EECS), where he specializes in distributed systems, wireless networking, and the Internet of Things (IoT). He holds a Bachelor of Mathematics from the University of Waterloo (1981) and a Ph.D. in Systems and Computer Engineering from Carleton University (1991). Before his full-time move to academia, Dr. Nayak accrued over 17 years of industrial experience in software engineering, avionics, and navigation systems. An IEEE Fellow and licensed Professional Engineer, his 2026 research focuses on cybersecurity, including intrusion detection systems and privacy-driven frameworks for health data and vehicular networks. He actively serves as an Associate Editor for several high-impact publications, such as the IEEE Internet of Things Journal and IEEE Transactions on Vehicular Technology.
