Falls Church, VA, United States of America

Tommy Olaus Johnson


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 26(Granted Patents)


Company Filing History:


Years Active: 2009

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1 patent (USPTO):Explore Patents

Title: Tommy Olaus Johnson: Innovator in Malware Scanning Technology

Introduction

Tommy Olaus Johnson is a notable inventor based in Falls Church, VA (US). He has made significant contributions to the field of computer security, particularly in the area of malware scanning technology. His innovative approach has led to the development of a unique patent that enhances the efficiency of file scanning processes.

Latest Patents

Johnson holds a patent titled "Reducing HTTP malware scanner latency using HTTP range queries for random access." This invention presents a system, method, and computer program product designed to improve the performance of scanning downloaded files. By enabling the download and scanning functions to occur in parallel and in a random order, his method significantly enhances overall performance compared to conventional techniques. The process involves receiving a request from a user system to transfer a file from a server, initiating the transfer, and simultaneously providing a partial copy of the file to malware scanning software. The scanning software can then request additional portions of the file as needed, allowing for a more efficient scanning process.

Career Highlights

Tommy Olaus Johnson is currently employed at McAfee, Inc., where he continues to work on innovative solutions in cybersecurity. His expertise in malware scanning has positioned him as a valuable asset in the field.

Collaborations

Throughout his career, Johnson has collaborated with notable colleagues, including Eric David O'Brien and Douglas Stone Kilpatrick. These partnerships have contributed to the advancement of technology in malware detection and prevention.

Conclusion

Tommy Olaus Johnson's contributions to malware scanning technology exemplify the impact of innovation in enhancing computer security. His patent reflects a forward-thinking approach that addresses the challenges of malware detection in a digital landscape.

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