中文摘要：

分布式认知无线电网络中一般不存在收集所有用户信息的融合中心,为了对抗频谱感知过程中恶意次用户发起的篡改频谱感知数据（SSDF）攻击,提出一种基于综合信任的频谱态势融合算法。该算法通过评估次用户间每次交互的满意度得到节点的瞬时信任度,并通过一致性检测,累积获取各个节点所有邻接次用户的长期信任度,结合二者得到动态的综合信任作为协作频谱感知时次用户间交互数据可靠性的主要参考指标,遏制恶意用户影响。理论分析与仿真结果表明,该方案在收敛性和稳定性上优于传统合作频谱感知算法,抵抗攻击能力增强,频谱检测准确率得到提升。

英文摘要：

In distributed cognitive radio networks,a common fusion center is always not available to collect the users＇ information.In order to cope with the spectrum sensing data falsification（SSDF） attack lunched by malicious users in the process of spectrum sensing,a spectrum situation fusion algorithm based on comprehensive trust is proposed.The algorithm calculates the instantaneous trust by evaluating the satisfaction of each interaction between secondary users.With consistency test,each node accumulates and updates the long-term trust of every adjacent secondary users.Integrating the instantaneous trust and the long-term trust,the dy-namic comprehensive trust is gotten as the main reference for the reliability of interaction data to eliminate the effects of malicious users.Theoretical analysis and simulation results show that the proposed scheme is superior to the traditional cooperative spectrum sensing algorithm on the convergence and stability,and is robust in resisting collusion attack.It can significantly improve the spec-trum detection accuracy.