Denial-of-sleep (DoSL) attack is a special category of denial-of-service attack that prevents the battery powered sensor nodes from going into the sleep mode, thus affecting the network performance. The existing schemes used for the DoSL attack detection do not provide an optimal energy conservation and key pairing operation. Hence, in this paper, an efficient Genetic Algorithm (GA) based denial-of-sleep attack detection (GA-DoSLD) algorithm is suggested for analyzing the misbehaviors of the nodes. The suggested algorithm implements a Modified-RSA (MRSA) algorithm in the base station (BS) for generating and distributing the key pair among the sensor nodes. Before sending/receiving the packets, the sensor nodes determine the optimal route using Ad Hoc On-Demand Distance Vector Routing (AODV) protocol and then ensure the trustworthiness of the relay node using the fitness calculation. The crossover and mutation operations detect and analyze the methods that the attackers use for implementing the attack. On determining an attacker node, the BS broadcasts the blocked information to all the other sensor nodes in the network. Simulation results prove that the suggested algorithm is optimal compared to the existing algorithms such as X-MAC, ZKP, and TE 2 P schemes.
In REF , denial of sleep attack detection (GA-DoSLD) algorithm was suggested by Gunasekaran et al. in terms of an efficient Genetic Algorithm (GA) outline for analyzing the abnormal behavior of the nodes.
GA-DoSLD: Genetic Algorithm Based Denial-of-Sleep Attack Detection in WSN
Security and Communication Networks
Security and Communication Networks
Computer Science