Invention Grant
- Patent Title: Methods and apparatus for using machine learning to classify malicious infrastructure
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Application No.: US17239128Application Date: 2021-04-23
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Publication No.: US12010129B2Publication Date: 2024-06-11
- Inventor: Tamás Vörös , Richard Harang , Joshua Daniel Saxe
- Applicant: Sophos Limited
- Applicant Address: GB Abingdon
- Assignee: Sophos Limited
- Current Assignee: Sophos Limited
- Current Assignee Address: GB Abingdon
- Agency: COOLEY LLP
- Main IPC: H04L29/06
- IPC: H04L29/06 ; G06N3/045 ; H04L9/40

Abstract:
Embodiments disclosed include methods and apparatus for detecting a reputation of infrastructure associated with potentially malicious content. In some embodiments, an apparatus includes a memory and a processor. The processor is configured to identify an Internet Protocol (IP) address associated with potentially malicious content and define each row of a matrix by applying a different subnet mask from a plurality of subnet masks to a binary representation of the IP address to define that row of the matrix. The processor is further configured to provide the matrix as an input to a machine learning model, and receive, from the machine learning model, a score associated with a maliciousness of the IP address.
Public/Granted literature
- US20220353284A1 METHODS AND APPARATUS FOR USING MACHINE LEARNING TO CLASSIFY MALICIOUS INFRASTRUCTURE Public/Granted day:2022-11-03
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