Attacks and Their Solution at Data Link Layer in Cognitive Radio Networks
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In this research paper, the author proposes a new protocol which improves channel assignment as well as it detects the malicious nodes efficiently. We have designed a protocol to enhance the detection ratio by discarding malicious nodes from further detection. In the first proposal, the malicious node is determined by comparing the number of used and unused channel reported by target node as well as by cooperating neighboring nodes. Any mismatch for channel assignment leads to the determination of selfish nodes. In the second proposal, malicious nodes are determined by maintaining the data set which keeps the record of a number of channels being used by each node. Each node has a unique identity and this unique identity is linked with allocated frequency. If malicious node requests multiple channels then it can be identified by checking the data set. Malicious nodes holding multiple channels have to leave the channel and this channel is allocated to other secondary users, it also creates equilibrium in the network. Performance of the proposed work is determined in terms of detection ratio, throughput, and BER. Further, BER is determined for different modulation techniques FSK, PSK, and DPSK.
KeywordsPrimary user (PU) Secondary user (SU) Malicious node Detection ratio Throughput
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