Abstract
Wireless mesh networks (WMNs) as compared to other conventional networks had emerged as the most popular choice in today’s era due to its distributed nature. WMNs allow multi-hop communication with the capability of self-healing. Due to its distributed nature, internal attacks such as blackhole, wormhole, and DOS attack could be easily launched to degrade the overall performance of WMNs. The attack disrupts the normal operation of routing protocols and causes a large amount of packet drop between mesh entities. Therefore, to ensure secure routing, it is essential to compute the trustworthiness of each node and to detect the malicious nodes within the WMNs. In this paper, we had proposed a trust-based detection algorithm that ensures the detection of malicious nodes in WMNs. The experimental result of our proposed protocol ensures an efficient detection of the malicious node with a higher detection rate.
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Roy, A.K., Khan, A.K. (2021). Prevention Against Internal Attack via Trust-Based Detection for Wireless Mesh Networks. In: Hura, G.S., Singh, A.K., Siong Hoe, L. (eds) Advances in Communication and Computational Technology. ICACCT 2019. Lecture Notes in Electrical Engineering, vol 668. Springer, Singapore. https://doi.org/10.1007/978-981-15-5341-7_8
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