Abstract
The resource exploitation is inhibited in the huge region of WSN (Wireless Sensor Network) and various attacks are introduced in vast vulnerable network. The intruder seizes the sensor vertices (nodes) and pilfers the secret data to control laudatory WSN under the node capture attack. We develop a Black Widow Optimization Algorithm (BWOA) to discover the sensor vertices having superior possibility of compromising by attack. BWOA is applied on multi objective function combining the various factors such as link key utilization, link stability time, link participation and link energy expenses of vertices and experiment results illustrate the superior performance of BWOA in terms of energy expenses cost, rounds of attack, compromised portion of traffic and complexity against MA, FGA, MREA, ACO and PSO.
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Khare, A., Gupta, R., Shukla, P.K., Chowdhury, R., Datta, P.K. (2021). A Black Widow Optimization Algorithm (BWOA) for Node Capture Attack to Enhance the Wireless Sensor Network Protection. In: Balas, V.E., Hassanien, A.E., Chakrabarti, S., Mandal, L. (eds) Proceedings of International Conference on Computational Intelligence, Data Science and Cloud Computing. Lecture Notes on Data Engineering and Communications Technologies, vol 62. Springer, Singapore. https://doi.org/10.1007/978-981-33-4968-1_47
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DOI: https://doi.org/10.1007/978-981-33-4968-1_47
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