Detection of Wormhole Attack and Secure Path Selection in Wireless Sensor Network

• Published in: Wireless personal communications Vol. 114; no. 1; pp. 329 - 345
• Main Authors: Tamilarasi, N., Santhi, S. G.
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.09.2020; Springer Nature B.V
• Subjects: Algorithms; Communications Engineering; Computer Communication Networks; Computer simulation; Data transmission; Engineering; Networks; Nodes; Particle swarm optimization; Signal,Image and Speech Processing; Wireless networks; Wireless sensor networks; Wireless sensor network; Wormhole attacked paths; AOMDV; Particle swarm optimization (PSO) algorithm; Detection packet (DP) and feedback packet (FP)
• ISSN: 0929-6212; 1572-834X
• DOI: 10.1007/s11277-020-07365-4

In Wireless Sensor Network (WSN), securable data transmission is one of the most challenges. During the transmission between the source and a destination node, routing information of the particular path may be misbehaved by the particular nodes which are known as wormhole nodes/attackers. The paths which include the wormhole nodes are known as wormhole attacked paths. For improving security in WSN, these wormhole attacked paths should be identified. To achieve this, wormhole attack detection method and optimal or secure path selection are presented in this paper. Initially, ‘K’ paths or multiple paths are generated between source and destination using Ad-hoc On demand Multipath Distance Vector (AOMDV) routing protocol. Then, the source node identifies the wormhole attacked path by verifying the Detection Packet (DP) and Feedback Packet (FP) from the destination. After detecting the wormhole attacked paths, the source node selects the optimal path among the attacker free paths using Particle Swarm Optimization (PSO) algorithm. Simulation results show that the performance of the proposed approach improves energy efficiency and network lifetime of the network.