Middletown, NJ, United States of America

Virginia Kay Ferrara


 


Average Co-Inventor Count = 4.0

ph-index = 2

Forward Citations = 433(Granted Patents)


Company Filing History:


Years Active: 2000

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2 patents (USPTO):Explore Patents

Title: Virginia Kay Ferrara: Innovator in Fraud Management Technologies

Introduction

Virginia Kay Ferrara is a notable inventor based in Middletown, NJ (US). She has made significant contributions to the field of fraud management in transaction-based networks. With a total of 2 patents, her work focuses on reducing fraud losses through innovative automated systems.

Latest Patents

Ferrara's latest patents include "Automated fraud management in transaction-based networks" and "Automated and selective intervention in transaction-based networks." The first patent addresses the issue of fraud in communication networks by automatically generating fraud management recommendations based on call-by-call fraud scoring. This system utilizes a programmable rules engine to provide tailored recommendations that correspond to the type and amount of suspected fraudulent activity. The second patent enhances fraud prevention by selectively invoking authentication measures based on a fraud score, thereby minimizing disruptions to legitimate subscribers while effectively managing fraud risks.

Career Highlights

Virginia Kay Ferrara has had a distinguished career at Lucent Technologies Inc., where she has applied her expertise in telecommunications and fraud management. Her innovative approaches have significantly advanced the capabilities of fraud detection and prevention systems.

Collaborations

Throughout her career, Ferrara has collaborated with esteemed colleagues such as Gerald Donald Baulier and Michael H Cahill. These partnerships have contributed to the development of her groundbreaking technologies.

Conclusion

Virginia Kay Ferrara's contributions to fraud management technologies exemplify her commitment to innovation and excellence in her field. Her patents reflect a deep understanding of the complexities of fraud in communication networks and offer practical solutions to mitigate these challenges.

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