Abstract
The fast advancement of communication technologies prompted a pour of interest in wireless networks research. Application-specific networks made up of a huge amount of sensor nodes are known as wireless sensor networks. Due to the lack of a predefined network structure, they are open to a variety of attacks. WSNs are made up of several types of sensor nodes, and they can be subjected to a variety of network layer attacks. There is most devastating routing attacks for wireless sensor network is the Wormhole Attack. In a wormhole attack, the attacker node attracts data packet as it is being transferred from one base station to another. A wormhole attack creates a virtual channel between two or more nodes in a network. Two or more nodes can send data packets across the virtual tunnel. Based on two-phase computation, this study suggested iWAD: An improved Wormhole Attack Detection System for Wireless Sensor Network. To detect susceptible nodes in network, two separate network parameters, transmission time and node buffer length, are considered. The proposed iWAD method is implemented using network simulation 2, which modifies an existing routing protocol called AODV. On the basis of resulting parameter i.e. E-to-E network delay, PDR, and throughput, the implementation result reveals that iWAD is adoptable and increases network performance.
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Dani, V., Bhonde, R., Mandloi, A. (2022). iWAD: An Improved Wormhole Attack Detection System for Wireless Sensor Network. In: Abraham, A., Gandhi, N., Hanne, T., Hong, TP., Nogueira Rios, T., Ding, W. (eds) Intelligent Systems Design and Applications. ISDA 2021. Lecture Notes in Networks and Systems, vol 418. Springer, Cham. https://doi.org/10.1007/978-3-030-96308-8_93
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