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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.
Date of Conference: 12-14 Oct. 2008