An Intelligent Technique to Detect Jamming Attack in Wireless Sensor Networks (WSNs)

• Published in: International journal of fuzzy systems Vol. 17; no. 1; pp. 76 - 83
• Main Authors: Sasikala, E., Rengarajan, N.
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01-03-2015; Springer Nature B.V
• Subjects: Algorithms; Artificial Intelligence; Communication; Computational Intelligence; Denial of service attacks; Energy consumption; Engineering; Food; Jamming; Management Science; Nuclear power plants; Operations Research; Optimization techniques; Sensors; Spread spectrum; Swarm intelligence; Wireless sensor networks; Intelligent technique; Wireless sensor networks; Denial-of-service (DoS) attacks; Jamming attack; Artificial bee colony (ABC)
• ISSN: 1562-2479; 2199-3211
• DOI: 10.1007/s40815-015-0009-4

Due to open share of physical medium, the wireless sensor networks have become vulnerable to jamming attacks. As such, attacks kindle strong interferences resulting in denial of service. This paper attempts to detect jamming attack, and a defence mechanism is proposed using artificial bee colony. The proposed method can be simulated using MATLAB. Simulation results expose the effectiveness of the proposed method which could defeat the jamming attack and maintain the considerable performance of the overall network.