摘要：

无线信号的多径效应和时变性使基于接收信号强度指示(RSSI)的测量值波动较大,导致基于RSSI位置指纹的WLAN认证及攻击定位存在较大的误差。为此,提出信道状态信息(CSI)位置指纹的入网认证及攻击检测定位方案。通过正交频分复用技术获取细粒度CSI以描述位置信号特征,采用K-means优化初始聚类点算法处理数据,增强各位置信息间的差异性。在此基础上,构建基于CSI的位置地图,利用CSI位置指纹认证访问WLAN的用户身份,从而对认证失败的用户进行攻击检测和定位。在IEEE 802.11n通信标准测试中的结果表明,该方案的定位正确率高达98.12%。

关键词: K-means算法, 信道状态信息, 身份认证, 攻击检测, 室内定位

Abstract:

The multipath effect and time-varying characteristics of wireless signals cause large fluctuations in the measured values based on the Received Signal Strength Indication(RSSI),resulting in large errors in WLAN authentication and attack location based on RSSI location fingerprinting.Therefore,the network access authentication and attack detection location scheme of the Channel State Information (CSI) location fingerprinting are proposed.The Orthogonal Frequency Division Multiplexing(OFDM) technology is used to obtain fine-grained CSI,and the location signal characteristics are described.The K-means optimized initial clustering point algorithm is used for data processing to enhance the differences between location information,and a CSI-based location map is constructed.The CSI location fingerprinting is used to authenticate the user accessing the WLAN,and the attack detection and location are performed on the user who fails the authentication.In the communication standard test of IEEE 802.11n,the correct positioning rate of the scheme is as high as 98.12%.

Key words: K-means algorithm, Channel State Information(CSI), identity authentication, attack detection, indoor positioning

中图分类号: 

• TP309