Securing Cooperative Spectrum Sensing Against Collusive SSDF Attack using XOR Distance Analysis in Cognitive Radio Networks.

Securing Cooperative Spectrum Sensing Against Collusive SSDF Attack using XOR Distance Analysis in Cognitive Radio Networks.
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在认知无线电网络中使用 XOR 距离分析来确保协作频谱感知免受共谋 SSDF 攻击

DOI:
10.3390/s18020370
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发表时间:
2018-01-27
期刊:
Sensors (Basel, Switzerland)
影响因子:
--
通讯作者:
Yue H
Yue H
中科院分区:
其他
文献类型:
--
作者:
Feng J;Zhang M;Xiao Y;Yue H

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协作频谱感知被认为是提高稀缺频谱资源利用率的有效途径。然而,如果CSS假设所有次级用户(SU)都是诚实的,则可能为攻击者提供进行频谱感知数据伪造(SSDF)攻击的机会。为了制止这种威胁,最近已努力发展信任机制。目前,一些攻击者可以相互勾结,形成一个合谋的集团,从而不仅增加了SSDF攻击的力量,而且还避免了信任机制的检测。注意到传感数据的二重性,我们提出了一个防御方案称为XDA从异或距离分析的角度来抑制合谋SSDF攻击。在XDA方案中,使用与“0”和“1”类型的历史感测数据一致的XOR距离计算来度量任意两个SU之间的相似性。针对合谋SSDF攻击者具有高信任值和最小异或距离的特点,设计了检测合谋SSDF攻击者的算法。同时,XDA方案可以完善信任机制,纠正合谋SSDF攻击者的信任值。仿真结果表明,XDA方案可以提高信任评估的准确性,从而成功地降低了对CSS的合谋SSDF攻击的能量。
Cooperative spectrum sensing (CSS) is considered as a powerful approach to improve the utilization of scarce spectrum resources. However, if CSS assumes that all secondary users (SU) are honest, it may offer opportunities for attackers to conduct a spectrum sensing data falsification (SSDF) attack. To suppress such a threat, recent efforts have been made to develop trust mechanisms. Currently, some attackers can collude with each other to form a collusive clique, and thus not only increase the power of SSDF attack but also avoid the detection of a trust mechanism. Noting the duality of sensing data, we propose a defense scheme called XDA from the perspective of XOR distance analysis to suppress a collusive SSDF attack. In the XDA scheme, the XOR distance calculation in line with the type of “0” and “1” historical sensing data is used to measure the similarity between any two SUs. Noting that collusive SSDF attackers hold high trust value and the minimum XOR distance, the algorithm to detect collusive SSDF attackers is designed. Meanwhile, the XDA scheme can perfect the trust mechanism to correct collusive SSDF attackers’ trust value. Simulation results show that the XDA scheme can enhance the accuracy of trust evaluation, and thus successfully reduce the power of collusive SSDF attack against CSS.
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