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Enhanced MIMO Based Anti-Jamming Technique in Wireless Networks
Abstract
MIMO-OFDM (Multiple Input Multiple Output - Orthogonal Frequency Division Multiplexing) system has been recognized as one of the most popular and competitive technique in a wireless environment nowadays. The multicarrier modulation is employed, which gives advantages like inter symbol interference (ISI) reduction, high data rate, higher reliability, and better performance in multipath fading. The simulation results show that, the BER (Bit Error Rate) performances is better in LML (Linear maximum likelihood) equalizer. Further we analyzed in different fading channels for various modulation techniques in both the equalizers. The LML (Linear maximum likelihood) equalizer plays important role in anti jamming OFDM (Orthogonal Frequency Division Multiplexing) technology. Reactive jamming is considered the most powerful jamming attack as the attack efficiency is maximized while the risk of being detected is minimized. No effective anti-jamming solutions to secure OFDM (Orthogonal Frequency Division Multiplexing) wireless communications under reactive jamming attack. In this paper, Explore the use of MIMO (Multiple Input Multiple Output) technology for jamming resilient OFDM (Orthogonal Frequency Division Multiplexing) communication, especially its capability to communicate against the powerful reactive jammer. MIMO (Multiple Input Multiple Output) based anti-jamming scheme that exploits interference cancellation and transmit pre-coding capabilities of MIMO (Multiple Input Multiple Output) technology to turn a jammed non-connectivity scenario into an operational network.
References
A. Wood and J. Stankovic, “Denial of service in sensor networks,” Computer, vol. 35, no. 10, pp. 54–62, 2002.
W. Xu, W. Trappe, Y. Zhang, and 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, ser. MobiHoc ’05, 2005, pp. 46–57.
M. Strasser, B. Danev, and S. Capkun, “Detection of reactive jamming in sensor networks,” ACM Transactions on Sensor Networks(TOSN), vol. 7, no. 16, pp. 1–29, 2010.
K. Pelechrinis, M. Iliofotou, and S. Krishnamurthy, “Denial of service attacks in wireless networks: The case of jammers,” Communications Surveys Tutorials, IEEE, vol. 13, no. 2, pp. 245–257, 2011.
M. Wilhelm, I. Martinovic, J. B. Schmitt, and V. Lenders, “Reactive jamming in wireless networks - how realistic is the threat?” in Proc. Of WiSec, June 2011.
A. Cassola, W. Robertson, E. Kirda, and G. Noubir, “A practical, targeted, and stealthy attack against wpa enterprise authentication,” in Proceedings of the 20th Annual Network and Distributed System Security Symposium (NDSS ’13), February 2013.
M. Han, T. Yu, J. Kim, K. Kwak, S. Lee, S. Han, and D. Hong, “OFDM channel estimation with jammed pilot detector under narrowband jamming,” IEEE Transactions on Vehicular Technology, vol. 57, no. 3, pp. 1934–1939, 2008.
T. Clancy, “Efficient OFDM denial: Pilot jamming and pilot nulling,” in Proc. of ICC, 2011.
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