Identification of Mobile Service Type of Encrypted Traffic Based on Fusion of Inception andSE-Attention

Mobile devices usually access WLAN and rely on WiFi encryption protocol to encrypt data link layer traffic in the network to maintain communication security.However,existing encrypted traffic identification methods mainly analyze traffic loads at the network layer and above,and cannot effectively identify the mobile service category of link layer encrypted traffic.To address this problem,a mobile service identification method based on link layer traffic in WiFi encryption scenarios is proposed.By passively sniffing WiFi data frames and extracting the traffic-side channel features available in the link layer,the traffic data is converted into a 2D histogram matrix.The recognition model,SE-Inception,is proposed by integrating the Inception network and SE-Attention mechanism,aiming to better capture the details and global information in the distribution features of traffic data frames,and highlighting the attention to important features to improve the recognition accuracy.In this paper,real datasets are used for experimental validation,and the results show that the method can effectively recognize the mobile service category of link-layer encrypted traffic in WiFi encryption scenarios,with an average accuracy of up to 98.29%,which is a better performance compared with the existing recognition methods.