A List by Author: Lukáš Folkman
Neighbor-Based Intrusion Detection for Wireless Sensor Networks
The neighbor-based detection technique explores the principle that sensor nodes situated spatially close to each other tend to have similar behavior. A node is considered malicious if its behavior significantly differs from its neighbors. The detection technique is localized, unsupervised and adapts to changing network dynamics. Although the technique is promising, it has not been deeply researched in the context of wireless sensor networks yet. In this technical report we analyze symptoms of different attacks for the applicability of the neighbor-based technique. The analysis shows that the technique can be used for detection of selective forwarding, jamming and hello flood attacks. We implemented an intrusion detection system which employs the neighbor-based detection technique. The system was designed for and works on the TinyOS operating system running the Collection tree protocol. We evaluated accuracy of the technique in detection of selective forwarding, jamming and hello flood attacks. The results show that the neighbor-based detection technique is highly accurate, especially in the case when collaboration among neighboring nodes is used.
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