基于增强信誉度的联合频谱感知算法研究

发布时间：2018-09-06 08:40

【摘要】：在认知无线电多节点联合频谱感知中,当感知节点中存在恶意用户发起频谱感知数据窜改(spectrum sensing data falsification,SSDF)攻击时,联合频谱感知的性能将受到严重影响。针对上述问题,研究并建立一种具有潜伏期的攻击模型。该模型在信誉值偏低时将停止攻击并累积信誉值,并在此基础上提出基于信誉机制的加权序贯检测(weighted sequential probability ratio test,WSPRT)算法,在计算权值时,综合考虑单节点表现的可信度和稳定度。仿真比较了传统检测算法与该算法在不同攻击模式下的关键性能。仿真结果表明,与现有算法相比,该算法检测性能提升,适用于有大量恶意节点存在的环境,并可以有效抵御更加灵活的SSDF攻击。
[Abstract]:In multi-node joint spectrum sensing of cognitive radio, the performance of joint spectrum sensing will be seriously affected when malicious users launch a spectrum sensing data tampering (spectrum sensing data falsification,SSDF) attack in the sensing node. To solve the above problems, an attack model with latent period is studied and established. When the reputation value is low, the model will stop the attack and accumulate the reputation value. On this basis, a weighted sequential detection (weighted sequential probability ratio test,WSPRT) algorithm based on the reputation mechanism is proposed. When calculating the weight value, the reliability and stability of the single node performance are considered synthetically. The key performance of traditional detection algorithm and this algorithm in different attack modes is compared by simulation. The simulation results show that compared with the existing algorithms, the proposed algorithm improves the detection performance, is suitable for the environment with a large number of malicious nodes, and can effectively resist more flexible SSDF attacks.
【作者单位】：中国科学院上海微系统与信息技术研究所宽带无线技术实验室;中国科学院大学;中国科学技术大学;
【基金】：中国科学院NICT先导专项基金资助项目(XDA06010304) 上海市科学技术委员会资助项目(12PJ1410300) 新一代宽带无线移动通信网重大专项资助项目(2011ZX03001-007-03)
【分类号】：TN925

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