Advancing Cyber Threat Detection Through Quantum and Edge Computing (Paperback)

As cyber threats grow in scale, sophistication, and frequency, traditional detection methods struggle to keep pace. To address this landscape, researchers and organizations turn to emerging technologies like quantum computing and edge computing. Quantum computing offers increased processing power, capable of analyzing complex data patterns and encryptions. Meanwhile, edge computing enables real-time threat detection and increases response times. By combining these two technologies, it creates smarter, faster, and more adaptive cybersecurity systems. Further exploration into how the convergence of quantum and edge computing can revolutionize cyber threat detection may pave the way for more resilient defense mechanisms in the digital age. Advancing Cyber Threat Detection Through Quantum and Edge Computing explores how quantum computing and artificial intelligence (AI) reshape the landscape of real-time anomaly detection, predictive analytics, and next-gen cybersecurity. It examines how quantum-enhanced AI models can detect patterns, adapt to emerging threats, and revolutionize security frameworks across industries, from finance and healthcare to national security and cloud infrastructure. This book covers topics such as blockchain, threat intelligence, and neural networks, and is a useful resource for computer engineers, security professionals, academicians, researchers, and data scientists.

Mr. Shenson Joseph is a distinguished expert in artificial intelligence and machine learning with more than 14 years of professional experience. Holding a Ph.D. candidacy in Artificial Intelligence and Quantum Computing at the University of North Dakota, along with Master's degrees in Data Science from Texas Tech University and Electrical & Computer Engineering from the University of Windsor, and a Bachelor's degree in Electrical and Electronics Engineering from the University of Calicut, Shenson has led numerous AI-driven projects, significantly enhancing fraud detection, healthcare diagnostics, predictive analytics, and operational efficiency in telecommunications and emerging technologies. His innovative work focuses on generative AI applications, quantum machine learning, cybersecurity innovations, and medical imaging, contributing to advancements that improve diagnostic accuracy by over 30% in areas like melanoma detection using hybrid frameworks integrating GAN-augmented data and LIME interpretability. Shenson has authored over 20 peer-reviewed publications and book chapters in prestigious venues such as IEEE Xplore, Springer, and IGI Global, covering topics from quantum artificial intelligence to digital twins in healthcare. His research has garnered significant recognition, including the Best Research Paper Award at the IEEE DMIHER 2024 Conference for groundbreaking work on AI in medical diagnostics. As a sought-after speaker, he has presented at international conferences in the USA, Japan, Singapore, India, and Morocco, sharing insights on transfer learning in natural language processing and quantum computing intersections. Dedicated to advancing AI and quantum fields, Shenson mentors emerging professionals and shapes scholarly discourse as Executive Editor for the Journal of Theoretical & Computational Science. He has peer-reviewed over 100 manuscripts for leading journals like IEEE Access and Elsevier, and serves on technical program committees for events such as WAIE 2024 and ICACCE 2024. His elite memberships include Fellow of the British Computer Society (FBCS), Fellow of the Institution of Electronics and Telecommunication Engineers (IETE), Senior Member of IEEE, and affiliations with ACM and AAAI.

Dr. C Kishor Kumar Reddy , currently working as Associate Professor, Dept. of Computer Science and Engineering, Stanley College of Engineering and Technology for Women, Hyderabad, India. He has research and teaching experience of more than 12 years. He has published more than 90 research papers in National and International Conferences, Book Chapters, and Journals indexed by Scopus and others. He is an author for 2 text books and 15 edited books. He is the member of ISTE, CSI, IAENG, UACEE, IACSIT

Asegul Hulus serves as an assistant professor while also being recognised as a fellow of the Higher Education Academy (FHEA). She is a distinguished researcher and author specialising in the field of computing. She holds memberships in esteemed organisations, including the Association for Computing Machinery (ACM) and the Institute of Electrical and Electronics Engineers (IEEE), among others. Additionally, she possesses skills in graphic design, video editing, audio production, and video game proficiency. Dr Hulus serves as a chair, chief editor, and peer reviewer for numerous journals, conferences, and publication houses. Furthermore, she holds a prominent position as one of the founding leaders in her field. Finally, she serves as a mentor for the Women4Cyber Foundation and holds various leadership positions in professional computing committees, such as the Association for Computing Machinery's Council on Women in Computing (ACM-W).

Prof. Dr. Tatjana Sibalija (BSc, MSc, PhD in Mechanical Engineering, from Faculty of Mechanical Engineering, University of Belgrade) is Full Professor at the Faculty of Computing, Union University, Belgrade. Her research interest includes artificial intelligence, data science, manufacturing and industrial engineering, process modelling, design and optimisation. She is the editor of 3 books; author of 6 books, 12 book chapters, 130+ papers published in peer-reviewed international journals / presented at refereed international conferences (h-index=20, i10-index=30), including several invited keynote speeches. She has served as a chair of many conference sessions, a member of 50+ scientific program committees of international conferences, a member of the editorial board and guest editor of several international scientific journals. She has been awarded eight awards and honours. Since 2009, she has been appointed FP7 / Horizon 2020 / Horizon Europe (EU Research Framework Programmes) expert / advisor on the projects review, selection and progress monitoring