Invention Grant
- Patent Title: Detecting random and/or algorithmically-generated character sequences in domain names
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Application No.: US17529947Application Date: 2021-11-18
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Publication No.: US12026469B2Publication Date: 2024-07-02
- Inventor: Hung-Jen Chang , Gaurav Mitesh Dalal , Ali Mesdaq
- Applicant: Proofpoint, Inc.
- Applicant Address: US CA Sunnyvale
- Assignee: Proofpoint, Inc.
- Current Assignee: Proofpoint, Inc.
- Current Assignee Address: US CA Sunnyvale
- Agency: Banner & Witcoff, Ltd.
- Main IPC: G06F40/30
- IPC: G06F40/30 ; G06F40/216 ; G06N20/20

Abstract:
Aspects of the disclosure relate to detecting random and/or algorithmically-generated character sequences in domain names. A computing platform may train a machine learning model based on a set of semantically-meaningful words. Subsequently, the computing platform may receive a seed string and a set of domains to be analyzed in connection with the seed string. Based on the machine learning model, the computing platform may apply a classification algorithm to the seed string and the set of domains, where applying the classification algorithm to the seed string and the set of domains produces a classification result. Thereafter, the computing platform may store the classification result.
Public/Granted literature
- US20220245351A1 Detecting Random and/or Algorithmically-Generated Character Sequences in Domain Names Public/Granted day:2022-08-04
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