Qianlong Xiao

Title: Innovations by Qianlong Xiao in Encrypted Traffic Classification

Introduction

Qianlong Xiao is an accomplished 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

Qianlong Xiao 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 that classifies encrypted traffic effectively. The system 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. He has 1 patent to his name.

Career Highlights

Qianlong Xiao 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

He collaborates with notable colleagues, including Jing Qiu and Jie Ding, who contribute to his research endeavors.

Conclusion

Qianlong Xiao's innovative work in classifying encrypted traffic represents a significant advancement in network security. His contributions are vital for improving the efficiency of traffic classification and enhancing cybersecurity measures.