A Method of Intrusion Detection in Wireless Sensor Network Based on Similarity Algorithm

doi:10.3969/j.issn.1671-1122.2016.02.004

Abstract

Abstract:

Wireless sensor network(WSN) security issues are getting more attention by researchers due to unreliable and untrusted circumstances. Even encryption and authentication are applied into WSN, and they cannot prevent the intrusion of malicious network when they have attacked the WSN successfully. In this paper, we describe an online, sequential intrusion detection algorithm for the intrusion of data temper in application layer, RREQ flooding in network layer, collision in link layer and jamming in physical layer. The proposed algorithm is based on the similarity algorithm and linear fitting algorithm, and raises an alarm of intrusion immediately upon encountering a deviation or countertrend from the previous data. Based on the experiments results of intrusion detection system(IDS) using this algorithm, we demonstrate that our online algorithm is effective and achieving its desired results.

Key words: wireless sensor network, similarity, Mahalanobis distance, linear fitting

CLC Number:

TP309

Dunhao ZHONG, Dongmei ZHANG, Yu ZHANG. A Method of Intrusion Detection in Wireless Sensor Network Based on Similarity Algorithm[J]. Netinfo Security, 2016, 16(2): 22-27.

Figures/Tables 10

References 10

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