Cupertino, CA, United States of America

Kevin Chang

This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: Barracuda Networks, Inc.. Active years: 2013-2014.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Kevin Chang. Retrieved from https://idiyas.com/inventor/kevin-chang-i71ol4l4

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 2 

% Patents Active = 100.0

Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2013-2014

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2 patents (USPTO):Explore Patents

Title: Kevin Chang: Innovator in Binary Object Similarity Measurement

Introduction

Kevin Chang is a notable inventor based in Cupertino, CA, who has made significant contributions to the field of technology through his innovative patents. With a total of 2 patents, he has focused on methods for measuring the similarity of diverse binary objects, which has important applications in data analysis and file management.

Latest Patents

Chang's latest patents include a method for measuring the similarity of diverse binary objects comprising bit patterns. This invention discloses an apparatus, system, and method for determining at least one pattern signature in an Nth binary object. The method accesses a location in a similarity store that contains object identifiers for each of the previous N-1 binary objects with the corresponding pattern. It writes the object identifier of the Nth binary object at that same location in the similarity store. The reporting of the number of locations in the similarity store that contain the object identifiers of two apparently diverse binary objects serves as a measure of similarity between them.

Another patent by Chang also focuses on measuring the similarity of diverse binary objects, such as files. This method involves determining a plurality of digital signatures in each of a variety of dissimilar objects. For each digital signature, it accesses a location in a store that has object identifiers for each object exhibiting at least one instance of the digital signature. The method writes the object identifiers of all objects that share the corresponding pattern and counts the number of times the pattern is found. Analyzing the list of objects that share a pattern allows for determining the degree of similarity of a particular object with each of the diverse binary objects.

Career Highlights

Kevin Chang is currently employed at Barracuda Networks, Inc., where he continues to innovate and develop new technologies. His work has been instrumental in advancing the understanding of binary object similarity, which is crucial for various applications in data management and cybersecurity.

Collaborations

Chang collaborates with his coworker, Zachary Levow, to further enhance the research and development of their projects.

Conclusion

Kevin Chang's contributions to the field of technology through his patents on measuring the similarity of binary objects highlight his innovative spirit and dedication to advancing data analysis methods. His work at Barracuda Networks, Inc. continues to influence the industry positively.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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