Zhefu Li

Title: Zhefu Li: Innovator in Mobile Software Detection

Introduction

Zhefu Li is a prominent inventor based in Guangdong, China. He has made significant contributions to the field of mobile software detection, holding 2 patents that showcase his innovative approaches to identifying software similarities and detecting malware.

Latest Patents

One of Zhefu Li's latest patents is a description-entropy-based intelligent detection method for big data mobile software similarity. This method involves acquiring a path of mobile software and reading its file. It performs preliminary reverse engineering decompilation to obtain function characteristics, counts the distribution of description entropy, and integrates this information to calculate similarity scores among mobile software. This approach greatly enhances the speed of intelligent calculation of software similarity.

Another notable patent is a method for fast and intelligent comparison and security detection of mobile malware big data. This method compresses mobile software and calculates the quantity of identical functions between the software subject to detection and a primary mobile software. It then determines the degree of similarity and compares it with a predetermined threshold to assess whether the software is suspected of repackaging.

Career Highlights

Zhefu Li has established himself as a key figure in the realm of mobile software detection. His innovative methods have the potential to significantly improve the efficiency and accuracy of software similarity detection and malware identification.

Collaborations

Zhefu Li has collaborated with notable colleagues such as Quanlong Guan and Weiqi Luo, contributing to advancements in mobile software technology.

Conclusion

Zhefu Li's work in mobile software detection exemplifies the impact of innovation in technology. His patents reflect a commitment to enhancing software security and similarity detection, marking him as a significant contributor to the field.