Xiaofeng Jiang

Title: Innovations by Xiaofeng Jiang in Security Detection

Introduction

Xiaofeng Jiang is a notable inventor based in Anhui, China. He has made significant contributions to the field of security detection through his innovative methods and devices. His work primarily focuses on utilizing machine learning techniques to enhance security measures.

Latest Patents

Xiaofeng Jiang holds a patent for a "Method and device for detecting security based on machine learning in combination with rule matching." This patent outlines a comprehensive approach that includes establishing a machine learning model, training it with labeled legal and malicious traffic, and employing a rule-matching-based method to detect malicious traffic. The process involves preprocessing network traffic, extracting features, and integrating the results from both detection methods to improve accuracy.

Career Highlights

Xiaofeng Jiang is affiliated with the University of Science and Technology of China, where he contributes to research and development in the field of security technologies. His innovative approach has garnered attention in academic and professional circles, showcasing his expertise in machine learning applications.

Collaborations

Some of his notable coworkers include Siyu Cheng and Jian Yang, who collaborate with him on various projects related to security detection and machine learning.

Conclusion

Xiaofeng Jiang's work exemplifies the intersection of technology and security, highlighting the importance of innovation in protecting digital environments. His contributions continue to influence the field and pave the way for future advancements.