Advanced Stochastic Processes for Physical Layer Security
Springer International Publishing (Verlag)
978-3-032-15238-1 (ISBN)
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This book provides a comprehensive exploration of stochastic processes and their critical applications in enhancing physical layer security for modern communication systems. The book uniquely focuses on the intersection of advanced mathematical models and cutting-edge security techniques, making complex concepts accessible and practical for real-world applications. The book first presents a comprehensive theoretical study of stochastic processes and their applications in physical layer security. Guided by these theoretical foundations, the authors then offer practical design strategies to enhance the performance of communication systems and facilitate their implementation. The book equips researchers, engineers, and security professionals with the knowledge and tools to tackle contemporary challenges. By bridging the gap between theory and practice, the authors ensure that readers can implement effective security measures in the ever-evolving landscape of modern communications.
- Comprehensively covers physical layer security, offering cutting-edge strategies beyond traditional encryption methods;
- Combines principles from probability theory, information theory, and communication systems for a comprehensive view;
- Provides design strategies based on theoretical foundations, making it easier deploy secure communication systems.
Ning Xie (Senior Member, IEEE) received the B. Eng. degree and Ph.D. degree in Communications and Information System from the Sun Yat-Sen University, China, in 2002, and 2007, respectively. Since 2007, he has been with the College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China, where he is currently a Full Professor. His research interests include physical-layer security, physical layer authentication, adaptive signal processing in wireless communications. He is currently an Associate Editor for IEEE Transactions on Information Forensics and Security, IEEE Transactions on Dependable and Secure Computing, IEEE Transactions on Communications, ACM Transactions on Privacy and Security, Computer Communications (Elsevier), IET Communications, IET Networks, and IET Wireless Sensor Systems. He is an IET Fellow.
Haijun Tan received the B.Eng. degree in Electronic Science and Technology from South China University of Technology, Guangzhou, China, in 2010, the M.Eng. degree in Communication and Information System from Sun Yat-sen University, Guangzhou, China, in 2013, and the Ph.D. degree in Signal Processing from The University of Hong Kong, Hong Kong, in 2019. From 2020 to 2024, he served as an Associate Research Fellow in Prof. Ning Xie's team at Shenzhen University. He is currently a Research Assistant at the Control and Network Foundation Laboratory, Department of Strategic and Advanced Interdisciplinary Research, Peng Cheng LaboratoryFrontier Research Center, Peng Cheng Laboratory, Shenzhen, China. His research interests include physical-layer authentication in wireless communications and security of underwater acoustic communications.
Peichang Zhang received the B.Eng. (Hons.) degree in Electronic Engineering from the University of Central Lancashire, Preston, U.K., in 2009, and the M.Sc. and Ph.D. degrees in Wireless Communications from the University of Southampton, Southampton, U.K., in 2010 and 2015, respectively. He is currently with the College of Electronic and Information Engineering, Shenzhen University, Shenzhen, China. His research interests include physical-layer security, antenna selection, MIMO detection, reconfigurable intelligent surfaces, and the Internet of Things.
Hongbin Li is the Charles and Rosanna Batchelor Memorial Chair Professor at the Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, USA. His research spans signal processing, RF sensing, and wireless communications. He is a Fellow of IEEE and has received numerous honors, including the IEEE Jack Neubauer Memorial Award (2025, 2013), IEEE Signal Processing Letters Best Paper Award (2024), Stevens Master of Engineering (Honoris Causa, 2024), Provost's Award for Research Excellence (2019), among others. He has served on multiple IEEE technical committees and editorial boards, and has been actively involved in various conference organizing activities.
Dusit Niyato is a President's Chair Professor in the College of Computing & Data Science (CCDS), Nanyang Technological University, Singapore. Dusit's research interests are in the areas of mobile generative AI, edge intelligence, quantum computing and networking, and incentive mechanism design. Dusit serves as Editor-in-Chief of IEEE Transactions on Network Science and Engineering (2025-2028) and IEEE Communications Surveys and Tutorials (2021-2024). Dusit is the Members-at-Large to the Board of Governors of IEEE Communications Society for 2024-2026. He is a Fellow of IEEE and a Fellow of IET.
Introduction.- Introduction to Stochastic Processes.- Probability Theory and Random Variables.- Law of Large Numbers and Central Limit Theorem.- Random Walks and Markov Chains.- Spectral Representation of Random Processes.- Large Deviations and Their Applications.- Convergence of Random Variables.- Characteristic Functions and Their Inversion.- Ergodic Theory and Applications.- Brownian Motion and Applications.- Infinitely Divisible Distributions.- Advanced Topics in Stochastic Processes.- Practical Applications and Case Studies.- Conclusion.
| Erscheint lt. Verlag | 12.6.2026 |
|---|---|
| Reihe/Serie | Wireless Networks |
| Zusatzinfo | Approx. 600 p. 50 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Technik ► Elektrotechnik / Energietechnik |
| Technik ► Nachrichtentechnik | |
| Schlagworte | Communication Systems • Information Theory • Physical Layer Security • Probability Theory • random variables • Stochastic Processes |
| ISBN-10 | 3-032-15238-0 / 3032152380 |
| ISBN-13 | 978-3-032-15238-1 / 9783032152381 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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