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A Relative Risk Model for Anomaly Detection in Wireless Sensor Networks

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2 Author(s)
Jiayu Tang ; Key Lab. of Inf. Coding & Transm., Southwest Jiaotong Univ., Chengdu ; Pingzhi Fan

Localization anomaly detection (LAD) for a wireless sensor network (WSN) plays a prominent role in defending against attacks on localization services. However, it is a difficult task to evaluate the effectiveness of the anomaly detection scheme according to complexity and uncertainty in various applications. This paper presents a relative risk model approach that was proposed for ecological risk assessment (ERA) to tackle this problem. The problem formulation and model-building process is described in detail. Our numerical simulation demonstrates that this relative risk model method is quite effective to the quantitative assessment of vulnerability analysis in wireless sensor networks.

Published in:

Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on

Date of Conference:

12-14 Oct. 2008