A Rule-based Attacks Detection Method for Wireless Sensor Networks

Shen Zihao, Liu Shufen

Abstract


Wireless sensor networks have become an increasingly important area for research and application. Compared to traditional networks, its security faces many unfavorable factors such as severe resource constraints, inability to secure the wireless medium, potentially harsh sensing environment, etc. Attacks detection is an important issue to a wireless sensor network security. In this paper, sensors were classified and different kinds of malicious attacks in a wireless sensor network were analyzed, based on which a rule-based attacks detection method was proposed. The detection rules were given to detect most kinds of malicious attacks.

Keywords


Malicious attacks; Wireless Sensor Networks (WSNs) ;Rule-based Detection

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International Journal of Online and Biomedical Engineering (iJOE) – eISSN: 2626-8493
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