Chengliang Gao

Title: Innovations of Chengliang Gao in Encrypted Traffic Classification

Introduction

Chengliang Gao is a notable inventor based in Guangdong, China. He has made significant contributions to the field of network security, particularly in the classification of encrypted traffic. His innovative approach utilizes machine learning to enhance the identification of normal and malicious traffic.

Latest Patents

Chengliang Gao holds a patent for a "System for classifying encrypted traffic based on data packet." This system comprises a traffic capture module, a traffic analysis module, and a traffic classification module. It collects data packets from network flows to construct a machine learning model, enabling the classification of encrypted traffic. The system effectively distinguishes between normal and malicious traffic by obtaining various features, including basic spatial-temporal features, header features, load features, and statistical features. Additionally, it focuses on differences between versions of encryption protocols, particularly the transport layer security (TLS) protocol, to improve classification efficiency.

Career Highlights

Chengliang Gao is affiliated with Guangzhou University, where he continues to advance his research in network security and machine learning. His work has garnered attention for its practical applications in enhancing cybersecurity measures.

Collaborations

Chengliang has collaborated with notable colleagues, including Jing Qiu and Jie Ding, contributing to the advancement of research in his field.

Conclusion

Chengliang Gao's innovative work in classifying encrypted traffic showcases his expertise and commitment to improving network security. His contributions are vital in the ongoing battle against cyber threats.