Sensors 2010, 10(4), 3444-3479; doi:10.3390/s100403444
Article

Information Warfare-Worthy Jamming Attack Detection Mechanism for Wireless Sensor Networks Using a Fuzzy Inference System

Sudip Misra 1,* email, Ranjit Singh 1 email and S. V. Rohith Mohan 2 email
1 School of Information Technology, Indian Institute of Technology, Kharagpur-721302, WB, India 2 Department of Mathematics, Indian Institute of Technology, Kharagpur-721302, WB, India
* Author to whom correspondence should be addressed.
Received: 8 February 2010; in revised form: 18 February 2010 / Accepted: 24 March 2010 / Published: 8 April 2010
(This article belongs to the Special Issue Wireless Sensor Network and Its Application in Advanced Computer Science)
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Abstract: The proposed mechanism for jamming attack detection for wireless sensor networks is novel in three respects: firstly, it upgrades the jammer to include versatile military jammers; secondly, it graduates from the existing node-centric detection system to the network-centric system making it robust and economical at the nodes, and thirdly, it tackles the problem through fuzzy inference system, as the decision regarding intensity of jamming is seldom crisp. The system with its high robustness, ability to grade nodes with jamming indices, and its true-detection rate as high as 99.8%, is worthy of consideration for information warfare defense purposes.
Keywords: wireless sensor networks; jamming detection; fuzzy inference system; information warfare

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Cite This Article

MDPI and ACS Style

Misra, S.; Singh, R.; Mohan, S.V.R. Information Warfare-Worthy Jamming Attack Detection Mechanism for Wireless Sensor Networks Using a Fuzzy Inference System. Sensors 2010, 10, 3444-3479.

AMA Style

Misra S, Singh R, Mohan SVR. Information Warfare-Worthy Jamming Attack Detection Mechanism for Wireless Sensor Networks Using a Fuzzy Inference System. Sensors. 2010; 10(4):3444-3479.

Chicago/Turabian Style

Misra, Sudip; Singh, Ranjit; Mohan, S. V. Rohith. 2010. "Information Warfare-Worthy Jamming Attack Detection Mechanism for Wireless Sensor Networks Using a Fuzzy Inference System." Sensors 10, no. 4: 3444-3479.

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