Taipei, Taiwan

Shih-Hao Weng


Average Co-Inventor Count = 2.4

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2019-2021

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2 patents (USPTO):Explore Patents

Title: Innovations by Shih-Hao Weng

Introduction

Shih-Hao Weng is a notable inventor based in Taipei, Taiwan. He has made significant contributions to the field of cybersecurity, holding 2 patents that address critical issues in protecting computer networks.

Latest Patents

One of his latest patents is titled "Classification of executable files using a digest of a call graph pattern." In this invention, a cybersecurity server receives an executable file to be classified. A call graph of the executable file is generated, with functions represented as vertices. Each vertex is assigned a value, and these values are arranged in traversal order to create a call graph pattern. A digest of this pattern is calculated and compared to known malicious digests.

Another significant patent is "Detection of advanced persistent threat attack on a private computer network." This system is designed to detect advanced persistent threat (APT) attacks on private networks. It includes host computers that process network traffic to identify access events indicating potential threats to critical assets, such as computers storing confidential data. Access events are logged and correlated using alert rules to identify APT attacks.

Career Highlights

Shih-Hao Weng is currently employed at Trend Micro Inc., a leading cybersecurity company. His work focuses on developing innovative solutions to enhance network security and protect sensitive information.

Collaborations

Some of his notable coworkers include Li-Hsiang Chiu and Wei-Ching Chang, who contribute to the collaborative efforts in advancing cybersecurity technologies.

Conclusion

Shih-Hao Weng's contributions to cybersecurity through his patents demonstrate his commitment to innovation in protecting digital assets. His work at Trend Micro Inc. continues to influence the field significantly.

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