Alleviating Reactive Bit Jamming in Wireless Sensor Networks

Abstract:

Wireless sensor networks are widely deployed and thus are suffering increasing threats such as reactive bit jamming attacks. Such jamming can be alleviated by coded transmissions. This paper derives an optimal redundancy level required for Reed-Solomon code based transmissions and unveils the monotonic characteristic of coded transmission efficiency with respect to frame size, jamming strength, as well as communication protocol stack overhead.

• Periodical: Applied Mechanics and Materials (Volumes 687-691)
• Pages: 3679-3685
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.687-691.3679
• Online since: November 2014
• Authors: Jian Wang, Xiao Ming Hu, Yin Chun Yang, Xiu Mei Wu
• Keywords: Mitigation, Optimal Redundancy Level, Reactive Bit Jamming, Wireless Sensor Network (WSN)

References

[1] M. Strasser, B. Danev, S. Capkun, Detection of reactive jamming in sensor networks, ACM Transactions on Sensor Networks (TOSN), 7(2) (2000) 16.

DOI: 10.1145/1824766.1824772

[2] R. H. Gohary, Y. Huang, Z. -Q. Luo, J. -S. Pang, A generalized iterative water-filling algorithm for distributed power control in the presence of a jammer, IEEE Transactions on Signal Processing, 57(7) (2009) 2660-2674.

DOI: 10.1109/tsp.2009.2014275

[3] X. Li, Y. Zhu, B. Li, Optimal anti-jamming strategy in sensor networks, in Proceedings of IEEE International Conference on Communications, (2012) 178-182.

DOI: 10.1109/icc.2012.6364589

[4] K. Siddhabathula, Q. Dong, D. Liu, M. Wright, Fast jamming detection in sensor networks, in Proceedings of IEEE International Conference on Communications, (2012) 934-938.

DOI: 10.1109/icc.2012.6363672

[5] W. Xu, W. Trappe, Y. Zhang, T. Wood, The feasibility of launching and detecting jamming attacks in wireless networks, in Proceedings of the 6th ACM international symposium on Mobile ad hoc networking and computing, (2005) 46-57.

DOI: 10.1145/1062689.1062697

[6] M. Wilhelm, I. Martinovic, J. B. Schmitt, V. Lenders, reactive jamming in wireless networks: how realistic is the threat?, in Proceedings of the fourth ACM conference on Wireless network security, (2011) 47-52.

DOI: 10.1145/1998412.1998422

[7] T. Cheng, P. Li, S. Zhu, An algorithm for jammer localization in wireless sensor networks, in Proceedings of IEEE 26th International Conference on Advanced Information Networking and Applications (2012) 724-731.

DOI: 10.1109/aina.2012.11

[8] M. Li, I. Koutsopoulos, R. Poovendran, Optimal jamming attacks and network defense policies in wireless sensor networks, in Proceedings of 26th IEEE International Conference on Computer Communications, (2007) 1307-1315.

DOI: 10.1109/infcom.2007.155

[9] W. Xu, T. Wood, W. Trappe, Y. Zhang, Channel surfing and spatial retreats: defenses against wireless denial of service, in Proceedings of the 3rd ACM workshop on Wireless security, (2004) 80-89.

DOI: 10.1145/1023646.1023661

[10] L. Zhang, Z. Guan, T. Melodia, Cooperative anti-jamming for infrastructure-less wireless networks with stochastic relaying, in Proceedings of IEEE International Conference on Computer Communications, (2014) 1-9.

DOI: 10.1109/infocom.2014.6847979

[11] Q. Yan, H. Zeng, T. Jiang, M. Li, W. Lou, Y. T. Hou, Mimo-based jamming resilient communication in wireless networks, http: /digital. cs. usu. edu/~mingli/papers/MIMOJam_TS. pdf.

DOI: 10.1109/infocom.2014.6848218