Trust-Assisted Anomaly Detection and Localization in Wireless Sensor Networks

Trust-Assisted Anomaly Detection and Localization in Wireless Sensor Networks

Title : Trust-Assisted Anomaly Detection and Localization in Wireless Sensor Networks
Authors :
Zheng, Shanshan
Baras, John, S.
Conference : 8th Annual IEEE Communications Society Conference on Sensor Mesh and Ad Hoc Communications and Networks (SECON) 2011 pp. 386-394
Date: June 27 - June 30, 2011

Fast anomaly detection and localization is critical to ensure effective functioning of wireless sensor networks. The low bandwidth and power constraints in wireless sensor networks are the main challenges for achieving this task, especially for large scale networks. In this paper, we propose a trust-assisted framework for detecting and localizing network anomalies in a hierarchical sensor network. The proposed method makes inference based on end-to-end measurements collected by a set of measurement nodes. Network heterogeneity is exploited for better bandwidth and energy efficiency. The trustworthiness of network links is utilized to design an efficient two-phase probing strategy that can achieve a flexible tradeoff between inference accuracy and probing overhead. We performed experiments with different network settings and demonstrated the effectiveness of our proposed algorithms.

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