PROJECT TITLE :
Defending Against Collaborative Attacks by Malicious Nodes in MANETs: A Cooperative Bait Detection Approach
In mobile unintentional networks (MANETs), a primary demand for the establishment of communication among nodes is that nodes should cooperate with every other. In the presence of malevolent nodes, this requirement could cause serious security considerations; for example, such nodes could disrupt the routing method. In this context, preventing or detecting malicious nodes launching grayhole or collaborative blackhole attacks could be a challenge. This paper makes an attempt to resolve this issue by planning a dynamic supply routing (DSR)-primarily based routing mechanism, that is called the cooperative bait detection scheme (CBDS), that integrates the advantages of each proactive and reactive defense architectures. Our CBDS method implements a reverse tracing technique to help in achieving the stated goal. Simulation results are provided, showing that in the presence of malicious-node attacks, the CBDS outperforms the DSR, 2ACK, and best-effort fault-tolerant routing (BFTR) protocols (chosen as benchmarks) in terms of packet delivery ratio and routing overhead (chosen as performance metrics).
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