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:
May. 16, 2023

Filed:

Apr. 03, 2020
Applicant:

Mitsubishi Electric Research Laboratories, Inc., Cambridge, MA (US);

Inventors:

Bret Harsham, Newton, MA (US);

Chiori Hori, Lexington, MA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 10/10 (2023.01); G06N 3/04 (2023.01); H04L 12/58 (2006.01); G06Q 10/107 (2023.01); H04W 4/90 (2018.01); G06N 3/08 (2023.01); H04L 51/42 (2022.01); H04L 51/216 (2022.01); H04L 51/212 (2022.01); H04L 51/21 (2022.01); G06F 18/22 (2023.01); G06F 18/214 (2023.01); G06N 3/044 (2023.01);
U.S. Cl.
CPC ...
G06Q 10/107 (2013.01); G06F 18/214 (2023.01); G06F 18/22 (2023.01); G06N 3/044 (2023.01); G06N 3/08 (2013.01); H04L 51/21 (2022.05); H04L 51/212 (2022.05); H04L 51/216 (2022.05); H04L 51/42 (2022.05); H04W 4/90 (2018.02);
Abstract

Systems and methods for a computer system for detecting anomalies in incoming communication from a sender to a receiver. Accepting a relationship structure defining a trained association model between the sender and the receiver, and the incoming communication. Accessing neural networks trained to detect anomalies in the incoming communication and classify the anomalies by type, subject to correspondence between content of the incoming communication and the trained association model between the sender and the receiver. Compute an updated association model, based on sender and the receivers organizational indications using the content of the incoming communication. Execute the neural networks by submitting the incoming communication and the updated association model to produce a result of anomaly detection and anomaly classification type. Execute a single sequence of defensive actions to deliver the incoming communication to the receiver, when the single sequence of defensive actions is above a predetermined delivering threshold.


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