Genetic algorithm-based Wormhole attack detection in WSN

Pranav Dhama * and Prashanth K

Department of Computer Applications, R V College of Engineering, Bengaluru-560059, India.
 
Research Article
International Journal of Science and Research Archive, 2023, 09(02), 795–802.
Article DOI: 10.30574/ijsra.2023.9.2.0629
Publication history: 
Received on 23 June 2023; revised on 08 August 2023; accepted on 11 August 2023
 
Abstract: 
Wireless Sensor Network (WSN) technology has received a lot of attention and has opened new applications. Examining security assaults on the network layer and coming up with a solution for them is one of the difficult topics in modern networks. Therefore, to achieve our goals, we must develop a technique that can identify an attack, prevent the attacker from accessing the network, and do so while consuming the fewest amounts of battery power. This technique must also use a simple, reliable algorithm. The use of a genetic algorithm is suggested in this research as a detection of wormhole attacks in WSNs. The strategy makes use of a genetic algorithm to investigate and identify the ideal group of parameters for a wormhole detection technique. Even in the case of enormous networks, the search for the most effective parameters may be carried out quickly and effectively by using this genetic algorithm.
 
Keywords: 
Wireless sensor network; Detecting attack; Genetic algorithm; Fuzzy function; Energy
 
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