- Patent Title: Systems and methods for intelligently constructing a backbone network graph and identifying and mitigating digital threats based thereon in a machine learning task-oriented digital threat mitigation platform
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Application No.: US17730780Application Date: 2022-04-27
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Publication No.: US11575695B2Publication Date: 2023-02-07
- Inventor: Wei Liu , Nicholas Benavides , Yanqing Bao , Gary Lee , Amey Farde , Kostyantyn Gurnov , Ralf Gunter Correa Carvalho
- Applicant: Sift Science, Inc.
- Applicant Address: US CA San Francisco
- Assignee: Sift Science, Inc.
- Current Assignee: Sift Science, Inc.
- Current Assignee Address: US CA San Francisco
- Agency: Alce PLLC
- Agent Padowithz Alce; Chandler Scheitlin
- Main IPC: H04L9/40
- IPC: H04L9/40

Abstract:
A system and method for fast-detection and mitigation of emerging network fraud attacks includes sourcing digital event data samples associated with one or more online services; executing graph-rendering computer instructions that automatically construct a backbone graph using a subset of features extracted from the sourced digital event data samples, wherein the constructing includes: identifying, as graphical nodes, a first plurality of distinct features of the subset of features; identifying, as graphical edges, a second plurality of distinct features of the subset of features; generating a graphical edge between distinct pairs of graphical nodes comprising a same type of feature of the subset of features based on feature values associated with at least one distinct feature of the second plurality of distinct features; and mitigating, via a digital threat mitigation action, if one or more emerging network fraud attacks is identified based on an assessment of a cluster of networked nodes.
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