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.

Date of Patent:
Mar. 24, 2026

Filed:

Mar. 10, 2023
Applicant:

Jpmorgan Chase Bank, N.a., New York, NY (US);

Inventors:

Tucker Richard Balch, Suwanee, GA (US);

Veronica Mejia Bustamante, New York, NY (US);

Naan Cho, New York, NY (US);

Matthew Howard, Pacific Palisades, CA (US);

Maxime Kawawa-Beaudan, Berkeley, CA (US);

Ganapathy Mani, New York, NY (US);

Ivan Rankenburg, Philadelphia, PA (US);

Andrew J. Schrager, West Orange, NJ (US);

Srijan Sood, New York, NY (US);

Jared Vann, London, GB;

Manuela Veloso, New York, NY (US);

Assignee:

JPMORGAN CHASE BANK, N.A., New York, NY (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 21/55 (2013.01); G06F 11/07 (2006.01); G06F 21/56 (2013.01);
U.S. Cl.
CPC ...
G06F 21/554 (2013.01); G06F 11/0751 (2013.01); G06F 21/566 (2013.01);
Abstract

A method and a system for detecting an anomalous sequence of events in stream data are provided. The method includes: receiving a first set of raw data; analyzing the first set of raw data in order to determine a first event sequence; applying a first Hidden Markov Model (HMM) to the first event sequence in order to generate a first output; and determining, based on the first output, whether the first event sequence is classifiable as being an anomalous event sequence. The HMM is trained by using known sequences of normal events and event sequences that are known to be anomalous.


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