Invention Grant
- Patent Title: Webpage phishing detection using deep reinforcement learning
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Application No.: US17244277Application Date: 2021-04-29
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Publication No.: US11595438B2Publication Date: 2023-02-28
- Inventor: Eleanor Catherine Quint , Jugal Parikh , Mariusz Hieronim Jakubowski , Nitin Kumar Goel , Douglas J Hines , Cristian Craioveanu
- Applicant: Microsoft Technology Licensing, LLC
- Applicant Address: US WA Redmond
- Assignee: Microsoft Technology Licensing, LLC
- Current Assignee: Microsoft Technology Licensing, LLC
- Current Assignee Address: US WA Redmond
- Agency: Schwegman Lundberg & Woessner, P.A.
- Main IPC: H04L9/40
- IPC: H04L9/40 ; G06N3/08 ; G06N3/04 ; G06N3/084

Abstract:
Generally discussed herein are devices, systems, and methods for improving phishing webpage content detection. A method can include identifying first webpage content comprises phishing content, determining, using a reinforcement learning (RL) agent, at least one action, generating, based on the determined at least one action and the identified first webpage content, altered first webpage content, identifying that the altered first webpage content is benign, generating, based on the determined at least one action and second webpage content, altered second webpage content, and training, based on the altered second webpage content and a corresponding label of phishing, a phishing detector.
Public/Granted literature
- US20220353292A1 WEBPAGE PHISHING DETECTION USING DEEP REINFORCEMENT LEARNING Public/Granted day:2022-11-03
Information query