Abstract
In wireless sensor networks (WSNs) nodes are prone to fail due to energy depletion, hardware failure, malicious attack, and so on. Major attacks that cause problems/destruction in WSN are black hole and gray hole attacks. This paper proposes an adaptive exponential trust-based algorithm (AETBA) to calculate the trust factor (TF) of each node in every computing cycle. The proposed AETBA reduces the computation time in detecting black hole and gray hole nodes, also reducing power consumption. Moreover, the adaptive threshold strategy caters the low false positive rate. The simulation results prove the betterment of proposed method adaptive exponential trust-based algorithm (AETBA) over the established exponential trust-based algorithm (ETBA).
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Deepali Virmani, Gupta, P. (2016). Adaptive Exponential Trust-Based Algorithm in Wireless Sensor Network to Detect Black Hole and Gray Hole Attacks. In: Shetty, N., Prasad, N., Nalini, N. (eds) Emerging Research in Computing, Information, Communication and Applications . Springer, Singapore. https://doi.org/10.1007/978-981-10-0287-8_6
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DOI: https://doi.org/10.1007/978-981-10-0287-8_6
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