Quanlong Guan

Title: Innovations by Quanlong Guan in Mobile Software Detection

Introduction

Quanlong Guan is an innovative inventor based in Guangdong, China. He has made significant contributions to the field of mobile software detection, particularly in the areas of similarity detection and malware analysis. With a total of 2 patents, his work is paving the way for advancements in intelligent software analysis.

Latest Patents

Guan's latest patents include a "Description-entropy-based intelligent detection method for big data mobile software similarity." This method involves acquiring a path of mobile software, performing reverse engineering decompilation, and calculating similarity scores based on description entropy. The approach enhances the speed of intelligent calculations for software similarity, making it a valuable tool in the industry.

Another notable patent is the "Method for fast and intelligent comparison and security detection of mobile malware big data." This method focuses on detecting mobile malware by compressing software functions into hash values and calculating the degree of similarity between different software. It provides a systematic approach to identifying potential repackaging of mobile software.

Career Highlights

Throughout his career, Quanlong Guan has demonstrated a commitment to advancing technology in mobile software detection. His innovative methods have garnered attention for their effectiveness and efficiency in identifying software similarities and potential security threats.

Collaborations

Guan has collaborated with notable colleagues such as Weiqi Luo and Huanming Zhang. These partnerships have contributed to the development and refinement of his innovative methods in mobile software analysis.

Conclusion

Quanlong Guan's contributions to mobile software detection through his patents highlight his role as a leading inventor in this field. His innovative methods are set to enhance the efficiency and accuracy of software similarity detection and malware analysis.