Sheng Che Chang

Title: Innovations by Sheng Che Chang in Computer Security

Introduction

Sheng Che Chang is a notable inventor based in Taipei, Taiwan. He has made significant contributions to the field of computer security, holding a total of 3 patents. His work focuses on methods and systems designed to detect and mitigate computer security threats.

Latest Patents

Chang's latest patents include innovative approaches to identifying computer security threats. One of his patents describes methods for detecting these threats through a root-cause chain represented by a detection rule. This detection rule encompasses the objects involved in the root-cause chain and the computer operations that link them. An endpoint computer establishes connections between these objects when corresponding operations are detected, allowing for the identification of threats once the links are established.

Another significant patent involves the use of machine learning for threat detection. This system utilizes a trained machine learning model that analyzes sequence codes generated from malware process chains. By monitoring the behavior of processes, the endpoint computer constructs a target process chain that describes the observed behavior. This chain is then converted into a sequence code for classification by the machine learning model, which triggers response actions against identified threats.

Career Highlights

Sheng Che Chang is currently employed at Trend Micro Inc., a leading company in cybersecurity solutions. His work at Trend Micro has allowed him to develop and refine his innovative approaches to computer security.

Collaborations

Chang has collaborated with notable colleagues, including Chun Wen Chang and Nai-Wei Chang, contributing to advancements in the field of cybersecurity.

Conclusion

Sheng Che Chang's contributions to computer security through his patents and work at Trend Micro Inc. highlight his role as an influential inventor in the industry. His innovative methods for detecting security threats are paving the way for enhanced protection against cyber risks.