Abstract:

Based on the established threat model in cognitive radio networks, the performance loss of conventional cooperative spectrum sensing scheme under malicious attacks is figured out. And a weighted cooperative spectrum sensing algorithm is proposed based on the cognitive radio’s (CRs’) reputation. The reputation values are updated according to the behavior history of CRs, the weighted factors are derived from reputation values, and the final result is made by weighted fusion as well. Simulations show that the new method outperforms the conventional cooperative spectrum sensing algorithms under threat environment.

Key words: cognitive radio, spectrum sensing, threat model, weighted fusion