Synthetical Malicious Behavior Detection of MAC Layer Multiple Attack in Wireless Sensor Networks
Abstract
Wireless sensor networks have relatively weaker security performance compared to wired ones, and the MAC layer is a key part of their security system. In MAC layer, multiple synergetic attacks are more destructive than single attacks and more difficult to detect. In this paper, we propose a synthetical malicious behavior detection framework to detect when multiple attacks are launched in MAC layer. In this detection framework, we design a hierarchical data collection system to collect the necessary data for detection and propose the notion of behavioral deviation to roundly evaluate multiple aspects of behavior in MAC layer. Furthermore, we design a detection algorithm based on a hypothesis testing model to approximate the identity of malicious nodes. Finally, we prove the superiority of the synthetical detection framework compared with other kinds of single detection methods through simulation.
Keywords
Synthetical detection, Multiple attack, MAC layer, Wireless sensor networks
DOI
10.12783/dtcse/wcne2016/5087
10.12783/dtcse/wcne2016/5087
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