Sensors 2013, 13(12), 15863-15879; doi:10.3390/s131215863
Article

A Partially Distributed Intrusion Detection System for Wireless Sensor Networks

Department of Computer Engineering, Kyung Hee University, Gyeonggi-do 446-701, Korea
* Authors to whom correspondence should be addressed.
Received: 30 July 2013; in revised form: 8 November 2013 / Accepted: 11 November 2013 / Published: 25 November 2013
(This article belongs to the Section Sensor Networks)
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Abstract: The increasing use of wireless sensor networks, which normally comprise several very small sensor nodes, makes their security an increasingly important issue. They can be practically and efficiently secured using intrusion detection systems. Conventional security mechanisms are not usually applicable due to the sensor nodes having limitations of computational power, memory capacity, and battery power. Therefore, specific security systems should be designed to function under constraints of energy or memory. A partially distributed intrusion detection system with low memory and power demands is proposed here. It employs a Bloom filter, which allows reduced signature code size. Multiple Bloom filters can be combined to reduce the signature code for each Bloom filter array. The mechanism could then cope with potential denial of service attacks, unlike many previous detection systems with Bloom filters. The mechanism was evaluated and validated through analysis and simulation.
Keywords: Bloom filter; intrusion detection system; low memory usage; wireless sensor network; security

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MDPI and ACS Style

Cho, E.J.; Hong, C.S.; Lee, S.; Jeon, S. A Partially Distributed Intrusion Detection System for Wireless Sensor Networks. Sensors 2013, 13, 15863-15879.

AMA Style

Cho EJ, Hong CS, Lee S, Jeon S. A Partially Distributed Intrusion Detection System for Wireless Sensor Networks. Sensors. 2013; 13(12):15863-15879.

Chicago/Turabian Style

Cho, Eung J.; Hong, Choong S.; Lee, Sungwon; Jeon, Seokhee. 2013. "A Partially Distributed Intrusion Detection System for Wireless Sensor Networks." Sensors 13, no. 12: 15863-15879.

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