PingHuan Wu

Title: Innovations of PingHuan Wu in Malware Detection

Introduction

PingHuan Wu is a notable inventor based in Taipei, Taiwan. He has made significant contributions to the field of malware detection, holding 2 patents that showcase his innovative approaches to cybersecurity.

Latest Patents

One of his latest patents is titled "Method and system for static behavior-predictive malware detection." This invention discloses a method and system that utilize a transfer learning model to predict malware behavior based on static features. The approach employs machine learning to capture relationships between static features, behavior features, and contextual information. A deep learning network model, pre-trained with metadata from various resources, is used to generate synthesized behavior-related static features. This allows for real-time detection of malicious code through static analysis.

Another significant patent by Wu is "Detecting malicious code in sections of computer files." In this invention, a training dataset is prepared by dividing normal and malicious files into sections. Each section is labeled accordingly, and this data is used to train a machine learning module. The trained model is then utilized in endpoint computers to identify any malicious sections in unknown files.

Career Highlights

PingHuan Wu is currently employed at Trend Micro Inc., a leading company in cybersecurity solutions. His work focuses on developing advanced methods for detecting and preventing malware threats.

Collaborations

Wu collaborates with talented individuals in his field, including Wen-Kwang Tsao and Wei-Zhi Liu. Their combined expertise contributes to the innovative projects at Trend Micro Inc.

Conclusion

PingHuan Wu's contributions to malware detection through his patents reflect his commitment to enhancing cybersecurity. His innovative methods are vital in the ongoing battle against malicious threats in the digital landscape.