Invention Grant
- Patent Title: System and method for detecting anomalous activity based on a data distribution
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Application No.: US17482059Application Date: 2021-09-22
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Publication No.: US11985153B2Publication Date: 2024-05-14
- Inventor: Moshe Karl
- Applicant: The Toronto-Dominion Bank
- Applicant Address: CA Toronto
- Assignee: The Toronto-Dominion Bank
- Current Assignee: The Toronto-Dominion Bank
- Current Assignee Address: CA Toronto
- Agency: CPST Intellectual Property Inc.
- Agent Brett J. Slaney
- Main IPC: G06F11/00
- IPC: G06F11/00 ; G06F7/04 ; G06F12/14 ; G06F12/16 ; G06F16/28 ; H04L9/40 ; H04N7/16

Abstract:
A system, non-transitory computer readable medium and method for detecting anomalous activity based on a data distribution is disclosed. The system includes a processor, and a memory coupled to the processor. The memory stores computer executable instructions that, when executed by the processor, cause the processor to obtain a plurality of datapoints defining a data distribution. The processor classifies the plurality of datapoints as isolated or non-isolated datapoints, and clusters at least some of the non-isolated datapoints into at least one mode segment. A reference mode from the at least one mode segment is identified, and at least one outlier being either an isolated or non-isolated datapoint separated from the reference mode by a predetermined number of isolated datapoints representing a flat portion is identified. An action is initiated based on the identified at least one outlier.
Public/Granted literature
- US20230093540A1 System and Method for Detecting Anomalous Activity Based on a Data Distribution Public/Granted day:2023-03-23
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