基于WiFi数据帧特征的智能家居识别方法

doi:10.3778/j.issn.1002-8331.2205-0574

摘要/Abstract

摘要： WiFi环境下的智能家居设备识别是当前物联网安全的研究热点之一。由于WiFi环境下802.11协议具有加密的特性，使得传统明文流量识别物联网设备的特征无法适用。分析802.11协议发现不同智能家居设备的数据帧存在差异性的特点，基于此开展研究工作，选取帧长度、帧到达时间、持续时间、帧序列号等字段作为流量特征，通过改进的决策树CART算法，实现WiFi环境下智能家居设备识别。实验结果表明该方法能有效识别设备型号，识别准确率为91.3%。

关键词: 智能家居, WiFi数据帧, 流量特征, 设备识别, 机器学习

Abstract: The identification of smart home device under WiFi environment is one of the current research hotspots of IoT security. Due to the encryption characteristics of the 802.11 protocol, the characteristics of traditional unencrypted traffic to identify IoT devices cannot be applied. Based on the analysis of 802.11 protocol, it is found that the data frames of diverse smart home devices have different characteristics. In this paper, protocol field such as frame length, frame arrival time, duration, and frame sequence number are selected as traffic characteristics. Through the improved decision tree CART algorithm realize the identification of smart home devices in the WiFi environment. The experimental results show that this method can effectively identify the device model, and the accuracy of recognition is 91.3%.

Key words: smart home, WiFi data frame, traffic characteristics, device identification, machine learning

刘丹丹, 韩奕, 刘翔宇, 谢镕镕, 王靖翔, 杜彦辉. 基于WiFi数据帧特征的智能家居识别方法[J]. 计算机工程与应用, 2023, 59(15): 274-280.

LIU Dandan, HAN Yi, LIU Xiangyu, XIE Rongrong, WANG Jingxiang, DU Yanhui. Smart Home Recognition Based on WiFi Data Frame Features[J]. Computer Engineering and Applications, 2023, 59(15): 274-280.

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