基于信任度的可变门限能量检测算法

肖洁; 陈跃斌; 陈楚天; 郑婷; 钱继武

doi:10.11959/j.issn.1000−0801.2018203

您当前的位置：

首页 >

文章列表页 >

基于信任度的可变门限能量检测算法

研究与开发 | 更新时间：2024-06-05

- 基于信任度的可变门限能量检测算法
- Variable threshold energy detection algorithm based on trust degree
- 电信科学 2018年34卷第8期页码：129-135
- 作者机构：
- 作者简介：
  
  [ "肖洁（1992−），女，云南民族大学硕士生，主要研究方向为认知无线电网络安全、频谱感知数据篡改（SSDF）攻击。" ]
  [ "陈跃斌（1963−），男，云南民族大学教授、硕士生导师，主要研究方向为认知无线电、协作频谱感知和认知无线电网络安全。" ]
  [ "陈楚天（1991−），男，云南民族大学硕士生，主要研究方向为认知无线电网络安全、频谱检测。" ]
  [ "郑婷（1992−），女，云南民族大学硕士生，主要研究方向为认知无线电网络安全、恶意模拟主用户（PUEA）攻击。" ]
  [ "钱继武（1990−），男，云南民族大学硕士生，主要研究方向为认知无线电网络安全、频谱感知。" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(61261022);云南民族大学创新团队项目
- DOI：10.11959/j.issn.1000−0801.2018203
  中图分类号： TN925
- 网络出版日期：2018-08，
  
  纸质出版日期：2018-08-20
- 稿件说明：
移动端阅览
肖洁, 陈跃斌, 陈楚天, 等. 基于信任度的可变门限能量检测算法[J]. 电信科学, 2018,34(8):129-135.

Jie XIAO, Yuebin CHEN, Chutian CHEN, et al. Variable threshold energy detection algorithm based on trust degree[J]. Telecommunications science, 2018, 34(8): 129-135.
肖洁, 陈跃斌, 陈楚天, 等. 基于信任度的可变门限能量检测算法[J]. 电信科学, 2018,34(8):129-135. DOI： 10.11959/j.issn.1000−0801.2018203.

Jie XIAO, Yuebin CHEN, Chutian CHEN, et al. Variable threshold energy detection algorithm based on trust degree[J]. Telecommunications science, 2018, 34(8): 129-135. DOI： 10.11959/j.issn.1000−0801.2018203.

摘要

针对随机的概率式频谱感知数据篡改（spectrum sensing data falsification，SSDF）攻击，提出基于信任度的可变门限能量检测算法。首先比较实际融合值与融合中心上、下边界值的关系，更新可变门限，且通过系统给定的虚警概率和漏检概率确定上、下边界值；其次采用基于正确感知次数和总感知次数比值确定信任值的软融合方法。仿真结果表明，与传统固定门限相比，算法抵御攻击的同时不仅能够降低虚警概率和漏检概率，同时可以提高系统检测概率。

Abstract

Aiming at stochastic probabilistic SSDF attacks

a variable threshold energy detection algorithm based on trust degree was proposed.Firstly

the variable threshold was updated by comparing the actual fusion value with the upper and lower boundary values of the fusion center.The upper and lower boundary values were determined through the given false alarm probability andmissed probability.Secondly

a soft fusionmethod was used based on the ratio of correct perception times and the total number of times to update the trust value.Simulation results show that

compared with the traditional fixed threshold

the proposed algorithm can not only reduce the false alarm andmissed detection probability

but also improve the detection probability of the system.

关键词

Keywords

references

YANG J X , CHEN Y B , SHI W G , et al . Cooperative spectrum sensing against attacks in cognitive radio networks [C ] // 2014 IEEE International Conference on Information and Automation(ICIA),July 26-31,2014,Hulun Buir,China . Piscataway:IEEE Press , 2014 : 71 - 75 .

冯景瑜 , 李金龙 , 卢光跃 . 协作频谱感知中抗SSDF 攻击的认知用户不确定性行为评估 [J ] . 电信科学 , 2015 , 31 ( 2 ): 97 - 102 .

FENG J Y , LI J L , LU G Y . Evaluating uncertainty behaviors of cognitive users against SSDF attack for cooperative spectrum sensing [J ] . Telecommunications Science , 2015 , 31 ( 2 ): 97 - 102 .

裴庆祺 , 李红宁 , 赵弘洋 . 认知无线电网络安全综述 [J ] . 通信学报 , 2013 , 34 ( 1 ): 144 - 158 .

PEI Q Q , LI H N , ZHAO H Y , et al . Security in cognitive radio networks [J ] . Journal of communication , 2013 , 34 ( 1 ): 144 - 158 .

XIAO J , CHEN Y B , XING C X , et al . An optimized scheme to resist primary user emulation attacks [C ] // The 2016 International Conference on Communications,InformationManagement and Network Security(CIMNS2016),Sept 25-26,2016,Shanghai,China.[S.l.:s.n . ] , 2016 : 176 - 180 .

卢光跃 , 苏杭 . 分布式协作认知无线电SSDF 攻击的防御策略综述 [J ] . 电信科学 , 2017 , 33 ( 1 ): 95 - 105 .

LU G Y , SU H . Survey on SSDF attack and defense for distributed cooperative cognitive radio [J ] . Telecommunications Science , 2017 , 33 ( 1 ): 95 - 105 .

冯景瑜 . 协作频谱感知中的SSDF 攻击及其对策研究 [J ] . 电信科学 , 2014 , 1 ( 11 ): 67 - 72 .

FENG J Y . Research on SSDF attack and defense for cooperative spectrum sensing [J ] . Telecommunications Science , 2014 , 1 ( 11 ): 67 - 72 .

RAWAT A S , ANAND P , CHEN H , et al . Collaborative spectrum sensing in the presence of byzantine attacks in cognitive radio networks [J ] . IEEE Transactions on Signal Processing , 2011 , 59 ( 2 ): 774 - 786 .

ZHAO T , ZHAO Y . A new cooperative detection technique withmalicious user suppression [C ] // IEEE ICC2009,June 14-18,2009,Dresden,Germany . Piscataway:IEEE Press , 2009 : 1 - 5 .

SHARIFI A A , NIYA M J M . Defense against SSDF attack in cognitive radio networks:attack-aware collaborative spectrum sensing approach [J ] . IEEE Communications Letters , 2016 , 20 ( 1 ): 93 - 96 .

PENG T , CHEN Y B , XIAO J , et al . Improved soft fusion-based cooperative spectrum sensing defense against SSDF attacks [C ] // IEEE International Conference on Computer Information and Telecommunication System(CITS 2016),July 6-8,2016,Kunming,China . Piscataway:IEEE Press , 2016 : 134 - 138 .

YANG Z L , CHEN Y B , XING C X , et al . Improved reputation of soft fusion based on cooperative spectrum sensing defence SSDF attacks [C ] // The 2016 International Conference on Communications,InformationManagement and Network Security(CIMNS2016),Oct 22-23,2016,Beijing,China.[S.l.:s.n . ] , 2016 : 181 - 185 .

ZHOU M , SHEN J , CHEN H , et al . A cooperative spectrum sensing strategy based on the Bayesian reputationmodel in cognitive radio networks [C ] // 2013 IEEE Wireless Communication and Networking Conference(WCNC 2013),April 7-10,2013,Shanghai,China . Piscataway:IEEE Press , 2013 : 614 - 619 .

FENG J Y , ZHANG Y Q , LU G Y , et al . Defend against collusive SSDF attack using trust in cooperative spectrum sensing environment [C ] // IEEE International Conference on Trust,Security and Privacy in Computing and Communication,Oct 19-20,2014,Beijing,China . Piscataway:IEEE Press , 2014 : 1656 - 1661 .

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

基于区块链与深度学习的空间分集协作频谱感知系统

PLC-RF无线传输网络中的能效最优设计方法

一种基于黏性隐马尔可夫模型的多频带频谱感知方法

基于CBR与合作Q学习的分布式CRN资源分配算法

基于多主用户活跃性的多功率认知接入策略