无线帧间隔特征提取方法  

Extraction Method of Wireless Frame Interval Feature

作　　者：李双秋 余志斌[1] 杨玲 张译方 刘莉萍 LI Shuang-qiu;YU Zhi-bin;YANG Ling;ZHANG Yi-fang;LIU Li-ping(School of Electrical Engineering Southwest Jiaotong University,Chengdu 611756,China;The 29th Research Institute of CETC,Chengdu 610036,China)

机构地区：[1]西南交通大学电气工程学院,成都611756 [2]中国电子科技集团公司第二十九研究所,成都610036

出　　处：《计算机科学》2021年第9期286-291,共6页Computer Science

基　　金：装备发展部领域基金(61403120304);电磁空间应用重点实验室基金。

摘　　要：针对现有无线网络设备个体识别方法精度不高、高采样率以及需解析协议等问题,文中从无线帧行为角度出发,研究并提出了无线帧间隔特征提取算法。该方法基于无线帧间隔特征生成机理,利用不同型号设备的无线帧间的间隔差异,研究面向单目标无线设备和多目标无线设备的信标帧帧间隔特征提取算法,并以无线路由器为例验证了该方法的有效性。实验结果表明,在同型号和不同型号无线设备混合且每次单个设备开启的情况下,所提方法对设备个体的平均识别率达到了94%,比传统方法提高了近10%;当多个无线设备同时开启时,所提方法对设备个体的识别率也达到了90%。从理论分析和实验验证结果可知,信标帧间隔作为识别无线路由设备的指纹特征,能够有效区分不同型号的无线路由设备。所提方法无需高精度采样即可获取瞬态信号,不易受调制方式的影响,也无需解析协议,非常适合通信对抗和网络安全中无线网络设备的个体识别。Aiming at the drawbacks that traditional individual identification algorithms for wireless network device are low accuracy,time-consuming and analyzing protocol,in this paper,the wireless frame interval feature extraction algorithm from the perspective of wireless frame behavior is proposed.Based on the generation mechanism of frame interval feature,the frame interval feature extraction algorithms for single-target wireless devices and multi-target wireless devices are studied,and the effectiveness of the algorithms are verified by taking the wireless router as an example.The experimental results show that when only a single device is turned on at a time experimental platform which is composed of the same model and different type wireless devices,the average recognition rate of the proposed method is 94%,which is nearly 10%higher than that of the traditional methods.When multiple wireless devices are turned on at the same time,the recognition rate of the method in this paper also reaches 90%.From theoretical analysis and experimental verification results,the frame interval of the beacon can be used to identify the wireless routing devices and distinguish different types of wireless routing devices effectively.The proposed method does not require high-precision sampling to obtain transient signals,is not susceptible to modulation mode,and does not require analyzing protocol,so it is very suitable for individual identification of wireless network equipment in communication countermeasures and network security.

关 键 词：无线帧 网络设备 个体识别 帧行为 

分 类 号：TN971[电子电信—信号与信息处理]