An intelligent information security mechanism for the network layer of WSN: BIOSARP
CISIS'11 Proceedings of the 4th international conference on Computational intelligence in security for information systems
ACS'11 Proceedings of the 11th WSEAS international conference on Applied computer science
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Many mission critical wireless sensor networks require an efficient, lightweight and flexible intrusion detection algorithm to identify malicious attackers. In this paper, we propose a distributed group-based intrusion detection scheme that meets all the above requirements by partitioning the sensor networks into many groups in which the sensors in each group are physically close to each other and are equipped with the same sensing capability. Our intrusion detection algorithm takes into consideration of multiple attributes of the sensor nodes simultaneously to detect malicious attackers precisely. We show through experiments with real data that our algorithm can decrease the false alarm rate and increase the detection accuracy rate compared with existing intrusion detection schemes while lowering the power consumption.