Zhaoquan Gu

Title: Innovations by Zhaoquan Gu in APT Organization Identification

Introduction

Zhaoquan Gu is an accomplished inventor based in Guangzhou, China. He has made significant contributions to the field of cybersecurity, particularly in the identification of Advanced Persistent Threat (APT) organizations. His innovative approach combines machine learning techniques with behavior analysis to enhance the detection of malicious activities.

Latest Patents

Zhaoquan Gu holds a patent for a "Stacking-ensemble-based APT organization identification method and system, and storage medium." This patent describes a method that utilizes a TF-IDF algorithm combined with n-gram techniques to extract and vectorize behavior features from malware samples. The process involves calculating correlations and chi-square values to refine the feature set, ultimately leading to the construction of a multi-model fusion stacking ensemble. This model significantly improves the identification efficiency of new APT attacks.

Career Highlights

Zhaoquan Gu is affiliated with Guangzhou University, where he continues to advance research in cybersecurity. His work focuses on developing methods that reduce the complexity of data sets while addressing sample imbalances. This innovative approach not only enhances recognition accuracy but also improves the automatic identification efficiency of new malicious samples.

Collaborations

Zhaoquan Gu collaborates with notable colleagues, including Shudong Li and Qianqing Zhang. Their combined expertise contributes to the advancement of research in the field of cybersecurity.

Conclusion

Zhaoquan Gu's contributions to APT organization identification represent a significant advancement in cybersecurity. His innovative methods and collaborative efforts continue to enhance the efficiency of detecting and mitigating cyber threats.