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Article Navigation >  Journal of University of Electronic Science and Technology of China  > 2009  >  38(5): 644-650

LENG Su-peng, LI Yong, LIU Ke. Novel Detection Scheme for Backoff Attacks on the Shared Wireless Channel[J]. Journal of University of Electronic Science and Technology of China, 2009, 38(5): 644-650. doi: 10.3969/j.issn.1001-0548.2009.05.023
Citation: LENG Su-peng, LI Yong, LIU Ke. Novel Detection Scheme for Backoff Attacks on the Shared Wireless Channel[J]. Journal of University of Electronic Science and Technology of China, 2009, 38(5): 644-650. doi: 10.3969/j.issn.1001-0548.2009.05.023
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Novel Detection Scheme for Backoff Attacks on the Shared Wireless Channel

doi: 10.3969/j.issn.1001-0548.2009.05.023
  • 1.

    School of Communication and Information Engineering,University of Electronic Science and Technology of China Chengdu 611731

  • Received Date: 2009-07-05
  • Publish Date: 2009-10-15
  • The competitive and shared wireless channel is vulnerable by random backoff attacks from malicious nodes (or selfish nodes). As a consequence, the channel resource can be occupied unfairly, or the private benefit can be enhanced selfishly. This paper proposes a novel central limit theorem (CLT) based algorithm to detect medium access control (MAC) misbehaviors of malicious nodes. This algorifhm is able to decrease the computational complexity, adjust the efficiency and the accuracy of detection on-demand, and implement the collaborated detection in a distributed manner. In order to improve the detection correctness of malicious nodes, the CLT based algorithm can be further enhanced by the Markov chain detection model. Compared with the traditional detection methods, the CLT based algorithm has the characteristics with lower misdiagnose probability and more detection efficiency. Simulation experiments show that the CLT based algorithm is superior to the DOMINO algorithm for diagnosing backoff attacks misbehaviors, in terms of detection correctness and convergence speed.
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Novel Detection Scheme for Backoff Attacks on the Shared Wireless Channel

doi: 10.3969/j.issn.1001-0548.2009.05.023
  • 1. School of Communication and Information Engineering,University of Electronic Science and Technology of China Chengdu 611731
  • Received Date: 2009-07-05
  • Publish Date: 2009-10-15

Abstract: The competitive and shared wireless channel is vulnerable by random backoff attacks from malicious nodes (or selfish nodes). As a consequence, the channel resource can be occupied unfairly, or the private benefit can be enhanced selfishly. This paper proposes a novel central limit theorem (CLT) based algorithm to detect medium access control (MAC) misbehaviors of malicious nodes. This algorifhm is able to decrease the computational complexity, adjust the efficiency and the accuracy of detection on-demand, and implement the collaborated detection in a distributed manner. In order to improve the detection correctness of malicious nodes, the CLT based algorithm can be further enhanced by the Markov chain detection model. Compared with the traditional detection methods, the CLT based algorithm has the characteristics with lower misdiagnose probability and more detection efficiency. Simulation experiments show that the CLT based algorithm is superior to the DOMINO algorithm for diagnosing backoff attacks misbehaviors, in terms of detection correctness and convergence speed.

LENG Su-peng, LI Yong, LIU Ke. Novel Detection Scheme for Backoff Attacks on the Shared Wireless Channel[J]. Journal of University of Electronic Science and Technology of China, 2009, 38(5): 644-650. doi: 10.3969/j.issn.1001-0548.2009.05.023
Citation: LENG Su-peng, LI Yong, LIU Ke. Novel Detection Scheme for Backoff Attacks on the Shared Wireless Channel[J]. Journal of University of Electronic Science and Technology of China, 2009, 38(5): 644-650. doi: 10.3969/j.issn.1001-0548.2009.05.023
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