Cumming, GA, United States of America

John Mullinax


 

 

Average Co-Inventor Count = 9.0

ph-index = 1

Forward Citations = 6(Granted Patents)


Company Filing History:


Years Active: 2022-2024

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2 patents (USPTO):Explore Patents

Title: John Mullinax: Innovator in Online Entity Detection

Introduction

John Mullinax is an accomplished inventor based in Cumming, GA (US). He has made significant contributions to the field of online entity detection, holding 2 patents that showcase his innovative approach to identifying synthetic online entities.

Latest Patents

Mullinax's latest patents focus on detecting synthetic online entities facilitated by primary entities. In these patents, a computing system generates entity links between a primary entity object and secondary entity objects from multiple accounts. The system determines the rate at which secondary users change on these accounts and updates the primary entity object to include a fraud-facilitation flag based on this rate. Additionally, the system can service queries from client systems regarding the presence of fraud warnings for target consumers. This innovative approach allows for the generation of fraud warnings based on the identification of target consumers in secondary entity objects associated with primary entity objects that have the fraud-facilitation flag.

Career Highlights

Mullinax is currently employed at Equifax Inc., where he continues to develop and refine his innovative ideas. His work at Equifax has positioned him as a key player in the realm of online security and fraud detection.

Collaborations

Throughout his career, Mullinax has collaborated with talented professionals such as Chris Brown and Rakesh Patel. These collaborations have further enhanced his ability to innovate and contribute to the field.

Conclusion

John Mullinax is a notable inventor whose work in detecting synthetic online entities has the potential to significantly impact online security. His patents reflect a deep understanding of the complexities of online interactions and the need for effective fraud detection mechanisms.

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