The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
May. 27, 2025
Filed:
Dec. 19, 2022
Applicant:
Somos, Inc., East Brunswick, NJ (US);
Inventors:
Sriram Sharma, Herndon, VA (US);
Sanjeev Chauhan, Ashburn, VA (US);
William Carter, Potomac Falls, VA (US);
Manisha Bhat, Sterling, VA (US);
Pamela J. Carter, Manchester, ME (US);
Ryan Karnas, Leesburg, VA (US);
Michael Kimmel, Ashburn, VA (US);
Suk Yee Wong, Belle Mead, NJ (US);
Assignee:
Somos, Inc., East Brunswick, NJ (US);
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04M 15/00 (2024.01); G06F 16/2457 (2019.01); G06Q 30/0201 (2023.01); H04L 45/00 (2022.01); H04L 45/125 (2022.01); H04M 3/22 (2006.01); H04M 3/36 (2006.01); H04M 3/42 (2006.01); H04M 3/51 (2006.01); H04M 15/08 (2006.01); H04Q 3/00 (2006.01); H04W 4/14 (2009.01); H04W 40/02 (2009.01);
U.S. Cl.
CPC ...
G06Q 30/0201 (2013.01); G06F 16/24573 (2019.01); H04L 45/125 (2013.01); H04L 45/22 (2013.01); H04M 3/2218 (2013.01); H04M 3/2263 (2013.01); H04M 3/36 (2013.01); H04M 3/367 (2013.01); H04M 3/42153 (2013.01); H04M 3/42161 (2013.01); H04M 3/42178 (2013.01); H04M 3/42306 (2013.01); H04M 3/42357 (2013.01); H04M 3/5175 (2013.01); H04M 15/08 (2013.01); H04M 15/09 (2013.01); H04M 15/47 (2013.01); H04M 15/58 (2013.01); H04M 15/72 (2013.01); H04M 15/755 (2013.01); H04M 15/8061 (2013.01); H04M 15/8083 (2013.01); H04M 15/8214 (2013.01); H04Q 3/0087 (2013.01); H04Q 3/0091 (2013.01); H04W 4/14 (2013.01); H04W 40/02 (2013.01); H04M 2203/555 (2013.01);
Abstract
A method including: receiving one or more datasets indicating call activity corresponding to a phone number; analyzing the one or more datasets to identify unusual call activity; and generating a fraud prediction, based at least in part on the identified unusual call activity, that the phone number will be used for fraud.