Invention Grant
- Patent Title: Detecting threat pathways using sequence graphs
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Application No.: US17338646Application Date: 2021-06-03
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Publication No.: US11902308B2Publication Date: 2024-02-13
- Inventor: Edmond Abrahamian , Maisam Shahid Wasti , Andrew Campbell , Ana Armenta , Prince Paulraj
- Applicant: AT&T Intellectual Property I, L.P.
- Applicant Address: US GA Atlanta
- Assignee: AT&T Intellectual Property I, L.P.
- Current Assignee: AT&T Intellectual Property I, L.P.
- Current Assignee Address: US GA Atlanta
- Main IPC: H04L29/06
- IPC: H04L29/06 ; G06N20/00 ; G06F40/134 ; H04L9/40

Abstract:
A method for detecting threat pathways using sequence graphs includes constructing a sequence graph from a set of data containing information about activities in a telecommunications service provider network, where the sequence graph represents a subset of the activities that occurs as a sequence, providing an embedding of the sequence graph as input to a machine learning model, wherein the machine learning model has been trained to detect when an input embedding of a sequence graph is likely to indicate a threat activity, determining, based on an output of the machine learning model, whether the subset of the activities is indicative of the threat activity, and initiating a remedial action to mitigate the threat activity.
Public/Granted literature
- US20220394049A1 DETECTING THREAT PATHWAYS USING SEQUENCE GRAPHS Public/Granted day:2022-12-08
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