Detection and Prevention of Blackhole Attacks in Wireless Sensor Networks

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Abstract

In recent past Wireless Sensor Network has emerged as a promising technology and has proved to be a leading motivational force for a new innovation namely Internet of Things. Due to characteristics constraints, security is one of key challenge to sustain the performance of wireless sensor networks. Blackhole attack is a major threat for Wireless Sensor Network in which an intruder absorbs the traffic intended for base station by introducing a malicious node. In this paper a new technique is proposed to detect and prevent blackhole attack in Wireless Sensor Network. The simulation results obtained with the proposed technique establishes that in the event of blackhole attack the malicious node is successfully detected and usage of proposed technique prevents the deterioration in the performance of Wireless Sensor Network.

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APA

Kaur, G., Jain, V. K., & Chaba, Y. (2017). Detection and Prevention of Blackhole Attacks in Wireless Sensor Networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10618 LNCS, pp. 118–126). Springer Verlag. https://doi.org/10.1007/978-3-319-69155-8_8

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