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Trust-Based Filtering of False Data in Wireless Sensor Networks  

Hur, Jun-Beom (한국과학기술원 전산학과)
Lee, Youn-Ho (한국과학기술원 전산학과)
Yoon, Hyun-Soo (한국과학기술원 전산학과)
Publication Information
Journal of KIISE:Information Networking / v.35, no.1, 2008 , pp. 76-90 More about this Journal
Abstract
Wireless sensor networks are expected to play a vital role in the upcoming age of ubiquitous computing such as home environmental, industrial, and military applications. Compared with the vivid utilization of the sensor networks, however, security and privacy issues of the sensor networks are still in their infancy because unique challenges of the sensor networks make it difficult to adopt conventional security policies. Especially, node compromise is a critical threat because a compromised node can drain out the finite amount of energy resources in battery-powered sensor networks by launching various insider attacks such as a false data injection. Even cryptographic authentication mechanisms and key management schemes cannot suggest solutions for the real root of the insider attack from a compromised node. In this paper, we propose a novel trust-based secure aggregation scheme which identifies trustworthiness of sensor nodes and filters out false data of compromised nodes to make resilient sensor networks. The proposed scheme suggests a defensible approach against the insider attack beyond conventional cryptographic solutions. The analysis and simulation results show that our aggregation scheme using trust evaluation is more resilient alternative to median.
Keywords
trust evaluation; security; secure aggregation; resilient sensor networks;
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