科研之友
微信
新浪微博
Facebook
分享链接
摘要
Cooperative spectrum sensing is widely accepted as an effective method to improve the reliability of spectrum sensing. However, spectrum sensing data falsification attacks (SSDF attacks) have posed serious threats to the credibility of cooperative spectrum sensing. This paper proposes an evidence theory-based anti-SSDF cooperative spectrum sensing scheme that eliminates the influence that malicious users have on the system performance in cooperative spectrum sensing. First, the data fusion center calculates the credibility according to the Jousselme distance between the evidence vectors. Then based on the credibility, the influence of malicious users on the fusion decision is reduced by using the weighted probability assignment for each cognitive user. Furthermore, to reduce the costs of collaboration and the amount of computation in applying evidence theory, the new scheme introduces a projection approximation algorithm at the local spectrum sensing process with weighted averaging in the data fusion phase. The results of the simulation show that the proposed scheme not only improves the system performance when malicious users initiate SSDF attacks, but also reduces the cooperative bandwidth and computational complexity.
- 出版日期2018-6
- 单位宁德师范学院; 宁波大学
