Guangxia Xu

Title: Innovations of Guangxia Xu in Encrypted Traffic Classification

Introduction

Guangxia Xu 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

Guangxia Xu holds a patent for a "System for classifying encrypted traffic based on data packet." This system includes a traffic capture module, a traffic analysis module, and a traffic classification module. It collects data packets from a network flow 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 various versions of encryption protocols, particularly the transport layer security (TLS) protocol, to improve classification efficiency.

Career Highlights

Guangxia Xu 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

Guangxia Xu collaborates with colleagues such as Jing Qiu and Jie Ding, contributing to a dynamic research environment focused on innovative solutions in technology.

Conclusion

Guangxia Xu's contributions to the classification of encrypted traffic represent a significant advancement in network security. His innovative patent and ongoing research efforts continue to shape the future of cybersecurity.