Improving learning and adaptation in security games by exploiting information asymmetry

Proceedings - IEEE INFOCOM

Volumn 26, Issue , 2015, Pages 1787-1795

  He, Xiaofan ^a   Dai, Huaiyu ^a   Ning, Peng ^b  

^a North Carolina State University   (United States)

^b NORTH CAROLINA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEX NETWORKS; EMBEDDED SYSTEMS; FERTILIZERS; MILITARY APPLICATIONS; REINFORCEMENT LEARNING; STOCHASTIC SYSTEMS;

CYBER PHYSICAL SYSTEMS (CPSS); DYNAMIC ENVIRONMENTS; INCOMPLETE INFORMATION; INFORMATION ASYMMETRY; INFORMATION WARFARE; MODERN TECHNOLOGIES; MULTI-AGENT REINFORCEMENT LEARNING; SYSTEMATIC FRAMEWORK;

MULTI AGENT SYSTEMS;

EID: 84953800487     PISSN: 0743166X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/INFOCOM.2015.7218560     Document Type: Conference Paper

References (24)

1. S. Roy, C. Ellis, S. Shiva, D. Dasgupta, V. Shandilya, and Q. Wu, "A survey of game theory as applied to network security, " in Proc. IEEE HICSS, Honolulu, HI, Jan. 2010.
2. X. Liang and Y. Xiao, "Game theory for network security, " IEEE Commun. Surveys Tuts., vol. 15, no. 1, pp. 472-486, Feb. 2013.
3. R. Prasad, S. Devasenapathy, V. Rao, and J. Vazifehdan, "Reincarnation in the ambiance: Devices and networks with energy harvesting, " IEEE Commun. Surveys Tuts., vol. 16, no. 1, pp. 195-213, Feb. 2014.
4. I. F. Akyildiz, W.-Y. Lee, M. C. Vuran, and S. Mohanty, "Next generation/dynamic spectrum access/cognitive radio wireless networks: A survey, " Computer Networks, vol. 50, no. 13, pp. 2127-2159, 2006.
5. L. Busoniu, R. Babuska, and B. De Schutter, "A comprehensive survey of multiagent reinforcement learning, " IEEE Trans. Syst., Man, Cybern. C, vol. 38, no. 2, pp. 156-172, 2008.
6. Y. E. Sagduyu, R. A. Berry, and A. Ephremides, "Jamming games in wireless networks with incomplete information, " IEEE Commun. Mag., vol. 49, no. 8, pp. 112-118, 2011.
7. M. L. Littman, "Markov games as a framework for multi-agent reinforcement learning, " in Proceedings of the eleventh international conference on machine learning, vol. 157, 1994.
8. M. Bowling and M. Veloso, "Multiagent learning using a variable learning rate, " Artificial Intelligence, vol. 136, no. 2, pp. 215-250, 2002.
9. Supplemental document. [Online]. Available: https: //www. dropbox. com/ s/oyb4ev8mo79mmvj/supplement. pdf
10. R. Chen, J.-M. Park, and J. H. Reed, "Defense against primary user emulation attacks in cognitive radio networks, " IEEE J. Sel. Areas Commun., vol. 26, no. 1, pp. 25-37, 2008.
11. Q. Zhao, L. Tong, A. Swami, and Y. Chen, "Decentralized cognitive MAC for opportunistic spectrum access in ad hoc networks: A POMDP framework, " IEEE J. Sel. Areas Commun., vol. 25, no. 3, pp. 589-600, 2007.
12. B. Wang, Y. Wu, K. R. Liu, and T. C. Clancy, "An anti-jamming stochastic game for cognitive radio networks, " IEEE J. Sel. Areas Commun., vol. 29, no. 4, pp. 877-889, 2011.
13. E. Altman, K. Avrachenkov, and A. Garnaev, "A jamming game in wireless networks with transmission cost, " in Network Control and Optimization. Springer, 2007, pp. 1-12.
14. D. Yang, G. Xue, J. Zhang, A. Richa, and X. Fang, "Coping with a smart jammer in wireless networks: A stackelberg game approach, " IEEE Trans. Wireless Commun., vol. 12, no. 8, pp. 4038-4047, 2013.
15. B. F. Lo and I. F. Akyildiz, "Multiagent jamming-resilient control channel game for cognitive radio ad hoc networks, " in Proc. IEEE ICC, London, UK, 2012.
16. Y. Wu, B. Wang, K. Liu, and T. Clancy, "Anti-jamming games in multichannel cognitive radio networks, " IEEE J. Sel. Areas Commun., vol. 30, no. 1, pp. 4-15, 2012.
17. H. Li and Z. Han, "Dogfight in spectrum: Combating primary user emulation attacks in cognitive radio systems, part I: Known channel statistics, " IEEE Trans. Wireless Commun., vol. 9, no. 11, pp. 3566-3577, 2010.
18. Q. Wang, P. Xu, K. Ren, and X.-Y. Li, "Towards optimal adaptive UFH-based anti-jamming wireless communication, " IEEE J. Sel. Areas Commun., vol. 30, no. 1, pp. 16-30, 2012.
19. N. Mastronarde and M. van der Schaar, "Fast reinforcement learning for energy-efficient wireless communication, " IEEE Trans. Signal Process., vol. 59, no. 12, pp. 6262-6266, 2011.
20. A. G. Fragkiadakis, E. Z. Tragos, and I. G. Askoxylakis, "A survey on security threats and detection techniques in cognitive radio networks, " IEEE Commun. Surveys Tuts., vol. 15, no. 1, pp. 428-445, 2013.
21. L. Liu, R. Zhang, and K. Chua, "Secrecy wireless information and power transfer with MISO beamforming, " IEEE Trans. Signal Process., vol. 62, no. 7, pp. 1850-1863, 2014.
22. D. W. K. Ng, L. Xiang, and R. Schober, "Multi-objective beamforming for secure communication in systems with wireless information and power transfer, " in Proc. IEEE PIMRC, London, UK, Sept. 2013.
23. A. Mukherjee and J. Huang, "Deploying multi-antenna energyharvesting cooperative jammers in the MIMO wiretap channel, " in Proc. IEEE ASILOMAR, Pacific Grove, CA, Nov. 2012.
24. O. Tan, D. Gunduz, and H. V. Poor, "Increasing smart meter privacy through energy harvesting and storage devices, " IEEE J. Sel. Areas Commun., vol. 31, no. 7, pp. 1331-1341, Jul. 2013.