A Survey of Traffic Classification Technology for Smart Home Based on Machine Learning

Abstract

With the wide use of smart home devices and the privacy of their activities, more and more research have focused on the traffic classification for smart home, and traffic classification technology can infer the activity of devices from the encrypted traffic, which is important for the research on smart home privacy leakage, device transparency management, and so on. This paper first introduced the research content and evaluation indicator of smart home traffic classification, and then compared the advantages and disadvantages of different smart home traffic classification approaches in terms of accuracy and real-time performance. Finally, the future research direction is prospected from two aspects: classification algorithm and classification model.