Lihua Yin

Title: Lihua Yin: Innovator in Encrypted Traffic Classification

Introduction

Lihua Yin 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 efficiency of traffic classification.

Latest Patents

Lihua Yin 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 and the identification of normal and malicious traffic. The system focuses on various features, including basic spatial-temporal features, header features, load features, and statistical features. Additionally, it emphasizes the differences between versions of encryption protocols, particularly the transport layer security (TLS) protocol, to improve classification efficiency.

Career Highlights

Lihua Yin 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

Lihua has collaborated with colleagues such as Jing Qiu and Jie Ding, contributing to a dynamic research environment that fosters innovation and development in their field.

Conclusion

Lihua Yin's contributions to the classification of encrypted traffic represent a significant advancement in network security. His innovative systems and collaborative efforts continue to shape the future of cybersecurity.