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Erschienen in:
2022 | OriginalPaper | Buchkapitel
Improving the Protection of Wireless Sensor Network Using a Black Hole Optimization Algorithm (BHOA) on Best Feasible Node Capture Attack
verfasst von : Ankur Khare, Rajendra Gupta, Piyush Kumar Shukla
Erschienen in: IoT and Analytics for Sensor Networks
Verlag: Springer Singapore
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Abstract
Wireless Sensor Network (WSN) is an area of research that connects mutually huge subareas of communication, routing, security, and attacks. WSN is conceivably the most susceptible network to node capture attack due to its dynamic nature in huge area. A node capture attack is introduced by seizing few nodes through an intruder to capture entire WSN by extracting the useful information like keys, routing mechanism, and data from WSN. To improve the protection of WSN, we proposed a Black Hole Optimization Algorithm (BHOA) on best feasible node capture attack to discover the optimal nodes having superior possibility of attack. The BHOA is applied on a function Vertex Participation. The experiment is performed on MATLAB 2019a environment, and the results show the better quality, efficiency of BHOA against MA, OGA, MREA, GA, and FFOA based on traffic compromised ratio, power consumption cost, and attacking time.