Xiaobin Tan

Title: Innovations of Xiaobin Tan in Security Detection

Introduction

Xiaobin Tan 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

Xiaobin Tan 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 the rule-matching method and the trained model. This innovative approach aims to improve the accuracy and efficiency of security detection systems.

Career Highlights

Xiaobin Tan 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 work has garnered attention for its practical applications in enhancing cybersecurity measures.

Collaborations

Xiaobin Tan collaborates with esteemed colleagues such as Xiaofeng Jiang and Siyu Cheng. Their combined expertise fosters a productive research environment that drives innovation in security detection.

Conclusion

Xiaobin Tan's contributions to the field of security detection through his innovative patent demonstrate his commitment to advancing technology. His work not only enhances security measures but also sets a foundation for future developments in the field.