Invention Grant
- Patent Title: Systems and methods of detecting email-based attacks through machine learning
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Application No.: US17068554Application Date: 2020-10-12
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Publication No.: US11948379B2Publication Date: 2024-04-02
- Inventor: Christopher Bayan Bruss , Stephen Fletcher , Lei Yu , Jakob Kressel
- Applicant: Capital One Services, LLC
- Applicant Address: US VA McLean
- Assignee: CAPITAL ONE SERVICES, LLC
- Current Assignee: CAPITAL ONE SERVICES, LLC
- Current Assignee Address: US VA McLean
- Agency: TROUTMAN PEPPER HAMILTON SANDERS LLP
- Agent Christopher J. Forstner; John A. Morrissett
- Main IPC: H04L29/06
- IPC: H04L29/06 ; G06F18/214 ; G06F18/241 ; G06N20/00 ; G06V30/19 ; H04L9/40 ; H04L51/08 ; H04L51/212

Abstract:
A system including at least one processor; and at least one memory having stored thereon computer program code that, when executed by the at least one processor, controls the at least one processor to: receive an email addressed to a user; separate the email into a plurality of email components; analyze, using respective machine-learning techniques, each of the plurality of email components; feed the analysis of each of the plurality of email components into a stacked ensemble analyzer; and based on an output of the stacked ensemble analyzer, determine whether the email is malicious.
Public/Granted literature
- US20210112095A1 SYSTEMS AND METHODS OF DETECTING EMAIL-BASED ATTACKS THROUGH MACHINE LEARNING Public/Granted day:2021-04-15
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