Research on Selective Forwarding Attack Detection Scheme in Wireless Sensor Networks

Abstract:

Selective forwarding attacks in wireless sensor networks may corrupt some mission critical applications such as military surveillance and critical facilities monitoring. They are very difficult to be detected and distinguished from normal packet drops in wireless sensor networks. We propose an improved sequential mesh test based detection scheme in this paper. The scheme extracts a small quantity of samples to run the test, instead of regulating the total times of test in advance. We show through experiments that our scheme can provide higher detection accurate rate and lower false alarm rate than the existing detection schemes. Meanwhile, less communication and computation power are required to detect the selective forwarding attacks.

• Periodical: Advanced Materials Research (Volumes 433-440)
• Pages: 5298-5302
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.433-440.5298
• Online since: January 2012
• Authors: Ying Wang, Guo Rui Li
• Keywords: Intrusion Detection, Security, Selective Forwarding Attack, Wireless Sensor Network (WSN)

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