Chih Hung Huang

US Patent:

20220366430, Nov 17, 2022

Filed:

May 14, 2021

Appl. No.:

17/321279

Inventors:

- Atlanta GA, US
Ana Armenta - San Jose CA, US
Prince Paulraj - Coppell TX, US
Chih Chien Huang - Mountain View CA, US

International Classification:

G06Q 30/00
G06N 20/00
G06F 21/45

Abstract:

Data stream based event sequence anomaly detection for mobility customer fraud analysis is presented herein. A system obtains a sequence of events comprising respective modalities of communication that correspond to a subscriber identity associated with a communication service—the sequence of events having occurred within a defined period. Based on defined classifiers representing respective fraudulent sequences of events, the system determines, via a group of machine learning models corresponding to respective machine learning processes, whether the sequence of events satisfies a defined condition with respect to likelihood of representing a fraudulent sequence of events of the respective fraudulent sequences of events. In response to the sequence of events being determined to satisfy the defined condition, the system sends, via a user interface of the system, a notification indicating that the sequence of events has been determined to represent the fraudulent sequence of events.