Defense against SSDF Attack in Cooperative Spectrum Sensing Based on Accumulated Suspicious Level

Liu Si-Yang; Gao Jun; Liu Quan

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Defense against SSDF Attack in Cooperative Spectrum Sensing Based on Accumulated Suspicious Level

更新时间：2023-11-14

- Defense against SSDF Attack in Cooperative Spectrum Sensing Based on Accumulated Suspicious Level
- Advanced Engineering Sciences Vol. 43, Issue Z1, Pages: 189-193(2011)
- 作者机构：
  
  海军工程大学
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2011，
  
  Published Online：13 April 2011，
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刘思洋,高俊,刘全.协作频谱感知中基于累积可疑度水平的抗SSDF攻击策略[J].工程科学与技术,2011,43(Z1):189-193.

Liu Si-Yang, Gao Jun, Liu Quan. Defense against SSDF Attack in Cooperative Spectrum Sensing Based on Accumulated Suspicious Level. [J]. Advanced Engineering Sciences 43(Z1):189-193(2011)
刘思洋,高俊,刘全.协作频谱感知中基于累积可疑度水平的抗SSDF攻击策略[J].工程科学与技术,2011,43(Z1):189-193. DOI：

Liu Si-Yang, Gao Jun, Liu Quan. Defense against SSDF Attack in Cooperative Spectrum Sensing Based on Accumulated Suspicious Level. [J]. Advanced Engineering Sciences 43(Z1):189-193(2011) DOI：

摘要

中文摘要: 信息融合式协作频谱感知(Cooperative Spectrum Sensing

CSS)极易受到篡改感知数据(Spectrum Sensing Data Falsification

SSDF)攻击的威胁。针对此问题，提出了一种基于累积可疑度水平(Accumulated Suspicious Level

ASL)的抗攻击策略。在该策略中，利用了数据挖掘的思想，信息融合中心不需要任何关于恶意用户攻击策略的先验信息，仅通过各次用户历史决策之间的Hamming距离来计算其可疑度，并通过多个感知周期的信息累积得到每个次用户的ASL。当某些用户的ASL连续出现超过某一特定门限时，融合中心即将它判定为恶意用户并将其从融合过程中剔除，从而达到抵抗SSDF攻击的目的。仿真结果表明，该抵抗策略能够有效检测并剔除各种类型的SSDF攻击，对于一般算法无法检测的智能型攻击也具有较好的抵抗效果，并可改善不同形式SSDF攻击场景下的协作频谱感知性能。

Abstract

Abstract:Cooperative Spectrum Sensing (CSS) is one of the vital mechanisms of cognitive radio (CR)

however

its security area has attracted very little attention

which is vulnerable to the SSDF attacks. To counter the SSDF attacks

an accumulated suspicious level-based algorithm was proposed. It calculated the accumulated suspicious level based on the distances of all secondary users’ reporting histories. With appropriate thresholds

the scheme distinguished honest secondary users and malicious secondary users. Only the secondary users that had been rectified can be used in the decision combination at the fusion centre (FC). Unlike other existing security schemes

the algorithm did not assume any a priori information about the strategy of attackers and can detect the intelligent attackers. Extensive simulations illustrated the effectiveness of the proposed scheme by showing that the scheme can effectively detect different types of SSDF attackers and decrease the negative impacts of SSDF attacks in CSS.

关键词

认知无线电协作频谱检测感知安全累积可疑度水平篡改感知数据攻击

Keywords

cognitive radiocooperative spectrum sensingaccumulated suspicious levelsensing securityspectrum sensing data falsification

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School of Electrics (Electromechanical) Eng.,Xuchang Univ.

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哈尔滨工业大学通信技术研究所黑龙江

海军工程大学通信工程系

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