Guangzhou University

Shen Su

Zhihong Tian

Man Zhang

Hui Lu

Lihua Yin

Jing Qiu

Xinguo Zhang

Qianlong Xiao

Yanbin Sun

Guangxia Xu

Rongrong Chen

Chengjie Jin

Fei Tang

Xiaoya Ni

Qi Sun

Minghao Hu

Dongqiu Huang

Chengliang Gao

Jiageng Yang

Jie Ding

Luxiaohan He

Jiaxu Xing

Disclosed is a system for classifying encrypted traffic based on a data packet. The system includes a traffic capture module, a traffic analysis module, and a traffic classification module. The system collects data packets from a network flow to construct a machine learning model, so as to classify encrypted traffic and identify normal traffic and malicious traffic. In a process of constructing a feature matrix, basic spatial-temporal features, header features, load features, and statistical features are obtained. In addition, behavioral features of the data packets are obtained and used to demonstrate differences between the normal traffic and the malicious traffic. Moreover, the present disclosure focuses on a difference between different versions of an encryption protocol, especially a transport layer security (TLS) protocol, and introduces the difference into a model for analysis, so that the system classifies encrypted traffic in a more efficient manner.

System for classifying encrypted traffic based on data packet

An Android penetration method and device for implementing silent installation based on accessibility services. The method includes: acquiring a second target application by adding a load program to a first target application and adding penetration permissions using an Android decompilation technology; and implementing silent installation of the second target application using an accessibility service technology.

Android penetration method and device for implementing silent installation based on accessibility services

Growing community of inventors

Guangdong, China

Shen Su