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| 一种基于传感器的认知无线网络攻击检测和定位方法 | |
| 引用本文： | 肖亮,康姗,颜蜜,陈翔,汤剑斌.一种基于传感器的认知无线网络攻击检测和定位方法[J].厦门大学学报(自然科学版),2012,51(2):168-173. |
| 作者姓名： | 肖亮 康姗 颜蜜 陈翔 汤剑斌 |
| 作者单位： | 1. 厦门大学信息科学与技术学院,福建厦门,361005 2. 清华大学信息技术研究院,北京,100084 3. IBM中国研究院,北京,100085 |
| 基金项目： | 国家自然科学基金项目(61001072);国家重点基础研究发展计划(973)项目(2007CB310608);福建省自然科学基金项目(2010J01347);教育部留学回国人员科研启动基金项目;福建省高等学校新世纪优秀人才支持计划 |
| 摘 要： | 针对认知无线网络(cognitive radio network,CRN)中模仿主用户攻击、多面攻击、恶意干扰等常见的安全问题,提出了一种基于传感器的CRN攻击检测和定位方法,它可同时检测多种方式的无线攻击,并对攻击者进行定位,为进一步惩戒其攻击行为做准备.该机制采用多个传感器联合检测接收信号强度(received signal strength,RSS),挖掘无线传输本身的空间去相关性,并且可有效处理CRN中可能的功率调整.基于通用软件无线电平台和频谱仪的实验结果均表明,该机制不仅能精确地同时检测电子欺骗、多面攻击和干扰攻击,而且能以较小误差锁定攻击者,其平均定位误差约为0.9m. |
| 关 键 词： | 认知无线网络 接收信号强度 攻击检测 传感器 定位 |
A Sensor Based Attack Detection and Localization Mechanism in Cognitive Radio Networks |
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| XIAO Liang , KANG Shan , YAN Mi , CHEN Xiang , TANG Jian-bin.A Sensor Based Attack Detection and Localization Mechanism in Cognitive Radio Networks[J].Journal of Xiamen University(Natural Science),2012,51(2):168-173. | |
| Authors: | XIAO Liang KANG Shan YAN Mi CHEN Xiang TANG Jian-bin |
| Institution: | 1.School of Information Science and Technology,Xiamen University,Xiamen 361005,China; 2.Research Institute of Information Technology,Tsinghua University,Beijing 100084,China; 3.IBM China Research Institute,Beijing 100085,China) |
| Abstract: | To address the primary user emulation(PUE),sybil,jamming and selfish attacks in cognitive radio networks(CRN),this paper proposes a sensor-based security mechanism to simultaneously detect multiple types of wireless attacks and to locate the attacker for further actions.Utilizes multiple sensors to measure the receive signal strength(RSS),this mechanism can exploit the spatial decorrelation property of radio media to address wireless attacks.In addition,it can effectively deal with the change of the transmit power in CRN.Experimental results based on spectrum analyzer and USRP show that this mechanism can accurately detect spoofing Sybil attack,jamming and selfish attacks,as well as to accurately locate the attackers,with the average localization error as small as about 0.9 m. |
| Keywords: | cognitive radio network received signal strength attack detection sensor localization |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |