摘要： 在认知无线电网络中，恶意用户会占用授权频段，模仿主用户的信号特征发送信号，导致其他认知用户误认为主用户存在。针对该问题，提出一种基于辅助节点的安全感知机制，在网络中部署若干辅助节点，利用链路特征和加密机制对主用户的活动情况进行识别。设计适用于该机制的融合判决算法，不对授权网络做任何形式的改动即能有效识别恶意用户，并在融合时采用信任节点的感知数据，从而提高融合结果的鲁棒性。仿真结果表明，与K秩、And和Or算法相比，在恶意环境下该算法具有较好的检测性能。

关键词: 认知无线电网络, 协作频谱感知, 主用户仿冒攻击, 辅助节点, 链路特征, 检测性能

Abstract: In Cognitive Radio Network(CRN), it exists the secure problem that adversaries emulate the characteristics of Primary User(PU) transmissions in order to occupy the authentic spectrum, and other Cognitive User(CU) mislead the existence of PU. Aiming at this problem, a secure sensing mechanism based on helper nodes is proposed. This mechanism relies on link signatures and cryptographic mechanisms to identify the PU activity. The corresponding fusion algorithm for this scheme is also proposed. The proposed algorithm can identify such adversaries efficiently without any modification to Primary Network(PN), and acquire robust results by utilizing sensing data of trust nodes. The simulation results show that this algorithm can achieve better detection performance in hostile environment than K rank, And and Or algorithm.

Key words: Cognitive Radio Network(CRN), cooperative spectrum sensing, Primary User Emulation(PUE) attack, helper nodes, link characteristic, detection performance

中图分类号: 

• TP393