Smart contract based attack detection in cognitive radio network

Abstract

 Cognitive radio network is prone to many malicious attacks during the process of cooperative spectrum sensing. To overcome this limitation and to efficiently use the spectrum, we incorporate block chain technology in the Fusion center in order to eliminate the malicious users and to maintain only authorized sensing results in the ledger. Fusion center takes the responsibility of smart contract ownership and organizes spectrum sensing effectively. Any malicious attack found during sensing is identified using our proposed algorithm (DETMAL-Detection of malicious users algorithm). This paper proposes a noval algorithm ’DETMAL algorithm’, which is designed in such a way that it can handle both reliant strike and self reliant strike made by the attackers. Detected attackers who are sending falsified reports are removed from the honest local decisions to make an authorised global decision. Legitimate secondary users who are the participants of the smart contract are rewarded with incentives of ethers. DETMAL algorithm shows 12% increased detection probability at 0.1 false alarm probability than the existing algorithm. Results and simulations show that our proposed model outsmarts other existing models in terms of detection probability and accuracy.