An anti-jamming strategy for channel access in cognitive radio networks

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7037 LNCS, Issue , 2011, Pages 34-43

  Sodagari, Shabnam ^a   Clancy, T Charles ^a  

^a Virginia Polytechnic Institute and State University   (United States)

Author keywords

Cognitive radio; jamming; multi armed bandit; security

Indexed keywords

ANTI-JAMMING; CHANNEL ACCESS; CHANNEL SELECTION; COGNITIVE RADIO; COGNITIVE RADIO NETWORK; IDLE CHANNEL; MULTI ARMED BANDIT; RADIO NETWORKS; SECURITY; TIME SLOTS;

DECISION THEORY; GAME THEORY; JAMMING; SECURITY SYSTEMS; SIGNAL TO NOISE RATIO;

RADIO;

EID: 81755178404     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-25280-8_5     Document Type: Conference Paper

References (14)

1. Digham, F.F., Alouini, M.-S., Simon, M.: On the energy detection of unknown signals over fading channels. In: Proceedings of the IEEE International Conference on Communications, vol. 55(1), pp. 21-24 (2003)
2. Guha, S., Munagala, K., Shi, P.: Approximation algorithms for restless bandit problems, http://arxiv.org/abs/0711.3861 (accessed June 2011)
3. Gummadi, R., Wetherall, D., Greenstein, B., Seshan, S.: Understanding and mitigating the impact of RF interference on 802.11 networks. ACM SIGCOMM Computer Communication Review 37(4), 385-396 (2007)
4. Kadhe, S., Chandra, M.G., Janakiram, B.: Random Linear Coding Based Anti-Jamming Coding Techniques for Cognitive Radio Systems. In: Proc. IEEE International Conference on Communications, pp. 1-6 (2010)
5. Khattab, S., Mosse, D., Melhem, R.: Modeling of the channelhopping anti-jamming defense in multi-radio wireless networks. In: Proc. 5th Annual International Conference on Mobile and Ubiquitous Systems: Computing, Networking, and Services (MobiQuitous), pp. 1-10 (2008)
6. Navda, V., Bohra, A., Ganguly, S., Rubenstein, D.: Using channelhopping to increase 802.11 resilience to jamming attacks. In: IEEE 26th Conference on Computer Communications (INFOCOM), pp. 2526-2530 (2007)
7. Noubir, G.: On connectivity in ad hoc network under jamming using directional antennas and mobility. In: International Conference on Wired Wireless Internet Communications, pp. 186-200 (2004)
8. Tokic, M.: Adaptive ε-Greedy Exploration in Reinforcement Learning Based on Value Differences. In: Dillmann, R., Beyerer, J., Hanebeck, U.D., Schultz, T. (eds.) KI 2010. LNCS, vol. 6359, pp. 203-210. Springer, Heidelberg (2010)
9. Vermorel, J., Mohri, M.: Multi-Armed Bandit Algorithms and Empirical Evaluation. In: Gama, J., Camacho, R., Brazdil, P.B., Jorge, A.M., Torgo, L. (eds.) ECML 2005. LNCS (LNAI), vol. 3720, pp. 437-448. Springer, Heidelberg (2005)
10. Wang, B., Wu, Y., Liu, K.J.R., Clancy, T.C.: An Anti-Jamming Stochastic Game for Cognitive Radio Networks. IEEE Journal on Selected Areas in Communications 29(4), 877-889 (2011)
11. Whittle, P.: Restless bandits: Activity allocation in a changing world. Appl. Prob. 25(A), 287-298 (1988)
12. Wood, A.D., Stankovic, J.A., Zhou, G.: DEEJAM: defeating energyefficient jamming in IEEE 802.15.4-based wireless networks. In: Proc. 4th IEEE Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON), pp. 60-69 (2007)
13. Wood, A.D., Stankovic, J.A.: Denial of service in sensor networks. Computer 35(10), 54-62 (2002)
14. Xu, W., Wood, T., Trappe, W., Zhang, Y.: Channel surfacing and spatialretreats: defenses against wireless denial of service. In: Proc. 3rd ACMWorkshop onWireless Security (WiSe), pp. 80-89 (2004)