Outlier Detection and Countermeasure for Hierarchical Wireless Sensor Networks

Outliers in Wireless Sensor Networks (WSNs) are sensor nodes that issue attacks by abnormal behaviours and fake message dissemination. However, existing cryptographic techniques are hard to detect these inside attacks, which cause outlier recognition a critical and challenging issue for reliable and secure data dissemination in WSNs. To efficiently identify and isolate outliers, this paper presents a novel Outlier Detection and Countermeasure Scheme (ODCS), which consists of three mechanisms: abnormal event observation mechanism for network surveillance; exceptional message supervision mechanism for distinguishing fake messages by exploiting spatiotemporal correlation and consistency and abnormal behaviour supervision mechanism for the evaluation of node behaviour.