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:
Apr. 02, 2024

Filed:

Jul. 28, 2020
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Joseph Paul Wigglesworth, Thornhill, CA;

Arnamoy Bhattacharyya, Toronto, CA;

Cristiana Amza, Toronto, CA;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 11/00 (2006.01); G06F 11/07 (2006.01); G06F 11/30 (2006.01); G06F 11/32 (2006.01); G06F 18/214 (2023.01); G06F 18/22 (2023.01); G06N 3/04 (2023.01);
U.S. Cl.
CPC ...
G06F 18/2148 (2023.01); G06F 11/076 (2013.01); G06F 11/3024 (2013.01); G06F 11/3037 (2013.01); G06F 11/3075 (2013.01); G06F 11/323 (2013.01); G06F 18/22 (2023.01); G06N 3/04 (2013.01); G06F 2201/84 (2013.01);
Abstract

A computer-implemented method for context aware anomaly detection includes receiving a signal including real-time data, dividing the received signal into a set of training wavelets bounded by a respective training context, generating a prediction model for the training context by processing the set of training wavelets through a recurrent neural network to identify patterns in a sequence of data of a respective training wavelet. The method includes, in response to execution of a current context that is different from the training context, extracting current wavelets from a signal of the current context, identifying a pairwise match between same dimensions of the current wavelets and a wavelet pattern of the prediction model by aligning sequences of the current wavelet and sequences of the wavelet pattern of the prediction model. Upon determining that a total cumulative distance between the two sequences exceeds a predetermined threshold, an anomaly is identified.


Find Patent Forward Citations

Wigglesworth, Joseph. (2024). Context aware anomaly detection (U.S. Patent No. 11947627). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/11947627

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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