- 专利标题: MACHINE LEARNING TECHNIQUES FOR ASSOCIATING ASSETS RELATED TO EVENTS WITH ADDRESSABLE COMPUTER NETWORK ASSETS
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申请号: US18661422申请日: 2024-05-10
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公开(公告)号: US20240297795A1公开(公告)日: 2024-09-05
- 发明人: Stuart Millar , Ralph McTeggart
- 申请人: Rapid7, Inc.
- 申请人地址: US MA Boston
- 专利权人: Rapid7, Inc.
- 当前专利权人: Rapid7, Inc.
- 当前专利权人地址: US MA Boston
- 主分类号: H04L9/32
- IPC分类号: H04L9/32 ; G06N3/0455 ; G06N3/08 ; H04L9/40 ; H04L41/06 ; H04L41/12 ; H04L41/16
摘要:
Techniques for associating assets related to events detected in at least one computer network with respective assets in an asset catalog for the at least one computer network. The techniques comprising: obtaining information about an event related to a first asset, the information specifying computer network addressing information for the first asset; generating a signature of the first asset from the computer network addressing information using at least one trained machine learning model, wherein the signature comprises a numeric representation of the first asset; associating the first asset with at least one asset in the asset catalog using the signature and at least one signature of the at least one asset in the asset catalog, wherein the at least one signature was previously determined using the at least one trained machine learning model; and outputting information identifying the at least one asset with which the first asset was associated.
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