Cognitive Radio Networking and Security. A Game-Theoretic View
Cambridge University Press, October 2010, Pages: 618
With the rapid growth of new wireless devices and applications over the past decade, the demand for wireless radio spectrum is increasing relentlessly. The development of cognitive radio networking provides a framework for making the best possible use of limited spectrum resources, and it is revolutionising the telecommunications industry. This book presents the fundamentals of designing, implementing, and deploying cognitive radio communication and networking systems. Uniquely, it focuses on game theory and its applications to various aspects of cognitive networking. It covers in detail the core aspects of cognitive radio, including cooperation, situational awareness, learning, and security mechanisms and strategies. In addition, it provides novel, state-of-the-art concepts and recent results. This is an ideal reference for researchers, students and professionals in industry who need to learn the applications of game theory to cognitive networking.
Part I. Cognitive Radio Communications and Cooperation: 1. Introduction to cognitive radios
2. Game theory for cognitive radio networks
3. Markov models for dynamic spectrum allocation
4. Repeated open spectrum sharing game
5. Pricing game for dynamic spectrum allocation
6. A multi-winner cognitive spectrum auction game
7. Evolutionary cooperative spectrum sensing game
8. Anti-jamming stochastic game
9. Opportunistic multiple access for cognitive networks
Part II. Resource Awareness and Learning: 10. Reinforcement learning for energy-aware communications
11. Repeated game and learning for packet forwarding
12. Dynamic pricing games for routing
13. Connectivity-aware network lifetime optimization
14. Connectivity-aware network maintenance and repair
Part III. Securing Mechanism and Strategies: 15. Trust modeling and evaluation
16. Defense against routing disruptions
17. Defense against injecting traffic attacks
18. Attack-resistant cooperation stimulation
19. Optimal strategies for cooperation stimulation
20. Belief evaluation for cooperation enforcement
21. Defense against insider attacks
22. Secure cooperation stimulation under noise and imperfect monitoring.
K. J. Ray Liu. University of Maryland, College Park
K. J. Ray Liu is a Distinguished Scholar-Teacher at the University of Maryland, College Park. He is the recipient of numerous honors and awards including the 2009 IEEE Signal Processing Society Technical Achievement Award, IEEE Signal Processing Society Distinguished Lecturer, National Science Foundation Presidential Young Investigator, and various best paper awards.
Beibei Wang.
Beibei Wang is currently a Research Associate at the University of Maryland, College Park, from where she received her Ph.D. in 2009. Her research interests include dynamic spectrum allocation and management in cognitive radio systems, cooperative communications, multimedia communications, game theory and learning, and network security.
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