在分布式认知无线电(CR)网络,协作频谱情况基于共识的方案检测可以通过频谱感知数据篡改破坏(SSDF)攻击。本文提出了一种基于信誉的安全频谱融合方案,以应对攻击。次用户的相邻节点(SUS)根据他们的行为得到相应的动态信任值,限制恶意行为的前提的影响来确保正常节点的信息交互。理论分析和仿真结果表明,基于信誉的一致融合方案比现有的算法,消除了相邻节点的最大偏差值从平均值。它表明,该方案不仅实现了更好的收敛性能,但也有较高的检测概率比现有的计划,在频谱的情况下融合。
In distributed cognitive radio (CR) network, the cooperative spectrum situation sensing based on consensus scheme may be disrupted by spectrum sensing data falsification (SSDF) attacks. In this paper, a secure spectrum situation fusion scheme based on reputation is proposed to counter attacks. The neighboring nodes of secondary users (SUs) get the corresponding dynamic trust value according to their behavior, which restrict the impact of the malicious behavior on the premise to ensure information interaction of normal nodes. Theoretical analysis and simulation results show that the consensus fusion scheme based on reputation has better performance than the existing algorithm which eliminates the neighboring node with the biggest deviation value from mean value. It demonstrates that the proposed scheme not only achieves better convergence properties but also has higher detection probability than the existing scheme in the process of spectrum situation fusion.