Some Commonly Used Features are Not Reliable: Enhancing Command Identification in Smart Home Wi-Fi Traffic Data

Nowadays, people are accustomed to using various smart home devices, which generate a lot of network traffic data every day. Accurately identifying user commands in traffic helps detect privacy leaks and potential security risks, leading to more effective management and maintenance of IoT devices. As a result, this issue has become a key focus for researchers in recent years. However, based on the observation of real data, we found that two categories of important features commonly used in current research-time and packet length features-have problems with insufficient representation and differentiation when used for user command identification. Then based on the findings, this paper proposes a new representation method for the command traffic. This method can amplify the distinction between command traffic and also encode time and packet length information. In addition, we established a real smart home environment and conducted experiments. The results show that the method in this paper can achieve command identification with an accuracy of 91%, surpassing existing methods.

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Publication Details

Published
2025-05-05
DOI
https://doi.org/10.1109/cscwd64889.2025.11033533
Primary Topic
Wireless Networks and Protocols
Type
article
Field-Weighted Citation Impact
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Some Commonly Used Features are Not Reliable: Enhancing Command Identification in Smart Home Wi-Fi Traffic Data

Zhenxiang Chen, Pingchuan Ma, Zheng Xiang, Jian Chen et al.
Wireless Networks and Protocols
article

Some Commonly Used Features are Not Reliable: Enhancing Command Identification in Smart Home Wi-Fi Traffic Data

Zhenxiang Chen, Pingchuan Ma, Zheng Xiang, Jian Chen, Yiwen Li, Shanshan Wang
article en

Abstract

Nowadays, people are accustomed to using various smart home devices, which generate a lot of network traffic data every day. Accurately identifying user commands in traffic helps detect privacy leaks and potential security risks, leading to more effective management and maintenance of IoT devices. As a result, this issue has become a key focus for researchers in recent years. However, based on the observation of real data, we found that two categories of important features commonly used in current research-time and packet length features-have problems with insufficient representation and differentiation when used for user command identification. Then based on the findings, this paper proposes a new representation method for the command traffic. This method can amplify the distinction between command traffic and also encode time and packet length information. In addition, we established a real smart home environment and conducted experiments. The results show that the method in this paper can achieve command identification with an accuracy of 91%, surpassing existing methods.

University of Jinan (CN)
Openalex Percentile: Top 84%
Wireless Networks and Protocols
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