Elizabeth M Mancini

US Patent:

20030153299, Aug 14, 2003

Filed:

Dec 31, 2002

Appl. No.:

10/335499

Inventors:

Michael Perfit - Gulfport FL, US
Darin Buchanan - Longmont CO, US
Scott Samek - Broomfield CO, US
Timothy Butler - Boulder CO, US
Elizabeth Mancini - Groton MA, US
Michael Arena - Lexington MA, US
Karen Wise - Wayland MA, US
Michael Farrar - Marblehead MA, US
Michael Uftring - Billerica MA, US
Theodore Willson - Needham MA, US
Richard Antell - Sherborn MA, US

Assignee:

Lightbridge, Inc. - Broomfield CO

International Classification:

H04M001/66
H04M003/16

US Classification:

455/410000, 411/411000

Abstract:

According to the principles of the invention, a fraud detection system receives data relating to telecommunications activity. Event generators generate events from the received data, with each event having a weight corresponding to an increased or decreased likelihood of fraud. The aggregated events for a subject (a subscriber or an account) determine a score for the subject, which is used to prioritize the subject in an investigation queue. Human analysts are assigned to open investigations on the investigation queue according to the priority of subjects. In this manner, investigation resources can be applied more effectively to high-risk subscribers and events.

US Patent:

6535728, Mar 18, 2003

Filed:

Nov 18, 1999

Appl. No.:

09/443065

Inventors:

Michael Adam Perfit - Gulfport FL
Darin L. Buchanan - Longmont CO
Scott J. Samek - Broomfield CO
Timothy W. Butler - Boulder CO
Elizabeth Mancini - Groton MA
Michael J. Arena - Lexington MA
Karen G. Wise - Wayland MA
Michael B. Farrar - Marblehead MA
Michael D. Uftring - Billerica MA
Theodore J. Wilson - Needham MA
Richard H. Antell - Sherborn MA

Assignee:

Lightbridge, Inc. - Burlington MA

International Classification:

H04M 166

US Classification:

455410, 455411, 379145, 379189

Abstract:

A fraud detection system receives data relating to telecommunications activity. Event generators generate events from the received data, with each event having a weight corresponding to an increased or decreased likelihood of fraud. The aggregated events for a subject (a subscriber or an account) determine a score for the subject, which is used to prioritize the subject in an investigation queue. Human analysts are assigned to open investigations on the investigation queue according to the priority of subjects. In this manner, investigation resources can be applied more effectively to high-risk subscribers and events.