Department Of Computer Engineering - Dezful Branch of Azad University, Khuzestan, Iran
Abstract
Today, wireless sensor networks are exposed to dangerous attacks that can disrupt the network. One of these malicious attacks is wormhole and black hole attacks which can pose serious threats to the network. Timely detection and detection of these attacks can improve network performance. In this research, a method is provided to improve, identify, detect and deal with wormhole and black hole attacks. The proposed method is a combination of two methods based on RTT and end-to-end identification method. In wireless sensor networks, when a wormhole attack occurs, it is natural that the number of node neighbors will be higher than usual; So we use this information to identify and attack wormholes. The results of this study indicate an improvement in the detection and response of attacks so that in sections, the average rate of packets received, the number of RREQs accepted at the destination, comparison of average energy consumption, node removal rate and system overhead can achieve acceptable performance compared to others. Acquired existing methods.
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