Abstract
Detecting malicious attackers is a critical problem for many sensor network applications. In this paper, a distributed t-distribution-based intrusion detection scheme was proposed. Considering the spatial correlation in the neighborhood activities, our intrusion detection algorithm established a robust model for multiple attributes of sensor nodes using t-distribution. The robust model with an approximate parameter algorithm was exploited to detect malicious attackers precisely. Experimental results show that our algorithm can achieve high detection accuracy and low false alarm rate even when a few sensor nodes are misbehaving, and perform quickly with a lower computational cost.
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Acknowledgments
This paper was supported by National Science and Technology Major Project of the Ministry of Science and Technology of China. (Grant No. \(2010ZX03006-001-01\)), and National Program on Key Basic Research Project of China. (Grant No. \(2011CB302902\)).
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Cheng, P., Zhu, M., Liu, X. (2014). Distributed T-Distribution-Based Intrusion Detection in Wireless Sensor Networks. In: Wang, X., Cui, L., Guo, Z. (eds) Advanced Technologies in Ad Hoc and Sensor Networks. Lecture Notes in Electrical Engineering, vol 295. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54174-2_28
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DOI: https://doi.org/10.1007/978-3-642-54174-2_28
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