Title :
A Distributed Intrusion Detection Scheme for Wireless Sensor Networks
Author :
Li, Guorui ; He, Jingsha ; Fu, Yingfang
Author_Institution :
Coll. of Comput. Sci. & Technol., Beijing Univ. of Technol., Beijing
Abstract :
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.
Keywords :
security of data; wireless sensor networks; distributed intrusion detection; malicious attackers; wireless sensor networks; Computer science; Educational institutions; Energy efficiency; Hidden Markov models; Intelligent sensors; Intrusion detection; Monitoring; Partitioning algorithms; Sensor phenomena and characterization; Wireless sensor networks; Detection accuracy; False alarm; Intrusion detection; Security; Wireless sensor networks;
Conference_Titel :
Distributed Computing Systems Workshops, 2008. ICDCS '08. 28th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-0-7695-3173-1
Electronic_ISBN :
1545-0678
DOI :
10.1109/ICDCS.Workshops.2008.19