Taipei, Taiwan

Ci-Hao Wu


Average Co-Inventor Count = 5.2

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2020-2024

where 'Filed Patents' based on already Granted Patents

7 patents (USPTO):

Title: Innovations of Ci-Hao Wu in Malware Identification

Introduction

Ci-Hao Wu is a notable inventor based in Taipei, Taiwan. He has made significant contributions to the field of cybersecurity, particularly in the identification of malware families. With a total of seven patents to his name, Wu's work has advanced the understanding and detection of malware threats.

Latest Patents

One of Wu's latest patents is focused on the automated identification of malware families based on shared evidences. This innovative malware family identification engine constructs a graph data structure that illustrates direct relationships between malware instances and malware families, as well as between malware instances and detected tags. Additionally, it explores indirect relationships between detected tags and malware families. The engine builds a dictionary data structure that links each detected tag to one or more malware family nodes based on the graph data structure. It identifies significant indirect entities (SIEs) within the detected tag entries and selects a SIE with the highest number of out-going links (OGLs) as a root node in a family tree data structure. The engine then recursively connects SIEs with fewer OGLs to the root node and converts each SIE name into a chained family entity name within the family tree data structure.

Career Highlights

Throughout his career, Ci-Hao Wu has worked with prominent companies, including IBM. His experience in these organizations has allowed him to refine his skills and contribute to groundbreaking innovations in the field of malware detection.

Collaborations

Some of his notable coworkers include Ying-Chen Yu and June-Ray Lin. Their collaboration has likely contributed to the success of Wu's projects and patents.

Conclusion

Ci-Hao Wu's contributions to malware identification through his innovative patents have significantly impacted the cybersecurity landscape. His work continues to influence the way malware threats are detected and managed.

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