Ming Fan

Title: The Innovative Mind of Ming Fan

Introduction

Ming Fan is a prominent inventor based in Shaanxi, China. He has made significant contributions to the field of computer science, particularly in the area of plagiarism detection for multithreaded programs. His innovative approach has garnered attention and recognition in the academic and technological communities.

Latest Patents

Ming Fan holds a patent for a method titled "Method for plagiarism detection of multithreaded program based on thread slice birthmark." This method involves several steps, including monitoring target programs during execution, real-time identification of system calls, and recording relevant information such as thread IDs, system call numbers, and return values. The process continues with the pre-treatment of this information to obtain a valid system call sequence trace. Subsequently, the valid sequence is sliced to generate a series of thread slices identified by their respective thread IDs. The method also includes generating dynamic thread slice birthmarks for all thread slices of two programs, creating corresponding software birthmarks, and matching them based on a maximum bilateral diagram to calculate the maximum similarity between the software birthmarks. Finally, it determines whether the program is plagiarized based on the average value of the birthmark similarity and a given threshold.

Career Highlights

Ming Fan is affiliated with Xi'an Jiaotong University, where he contributes to research and development in computer science. His work focuses on enhancing software security and integrity through innovative detection methods. His expertise in multithreaded programming and plagiarism detection has positioned him as a valuable asset in his field.

Collaborations

Ming Fan has collaborated with notable colleagues, including Qinghua Zheng and Ting Liu. Their combined efforts in research have led to advancements in the understanding and application of plagiarism detection techniques.

Conclusion

Ming Fan's contributions to the field of computer science, particularly through his patent on plagiarism detection methods, highlight his innovative spirit and dedication to advancing technology. His work continues to influence the academic community and improve software security practices.