Rongrong Chen

Title: Innovations of Rongrong Chen in Encrypted Traffic Classification

Introduction

Rongrong Chen 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

Rongrong Chen 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 versions of encryption protocols, particularly the transport layer security (TLS) protocol, to improve classification efficiency.

Career Highlights

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

Collaborations

Rongrong Chen collaborates with notable colleagues, including Jing Qiu and Jie Ding, who contribute to his research endeavors. Their combined expertise fosters a productive environment for innovation in the field.

Conclusion

Rongrong Chen'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.