- 专利标题: Computational modeling and classification of data streams
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申请号: US15402524申请日: 2017-01-10
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公开(公告)号: US10832168B2公开(公告)日: 2020-11-10
- 发明人: Sven Krasser , David Elkind , Patrick Crenshaw , Brett Meyer
- 申请人: CrowdStrike, Inc.
- 申请人地址: US CA Irvine
- 专利权人: CrowdStrike, Inc.
- 当前专利权人: CrowdStrike, Inc.
- 当前专利权人地址: US CA Irvine
- 代理机构: Lee & Hayes, P.C.
- 主分类号: G06N99/00
- IPC分类号: G06N99/00 ; H04N21/44 ; G06N3/08 ; G06F9/00 ; G06T5/20 ; G06N20/00 ; H04L12/24 ; H04L29/06 ; G06F21/56 ; G06N3/04 ; G06N20/10
摘要:
Example techniques described herein determine a signature or classification of a data stream such as a file. The classification can indicate whether the data stream is associated with malware. A processor can locate training analysis regions of training data streams based on predetermined structure data, and determining training model inputs based on the training analysis regions. The processor can determine a computational model based on the training model inputs. The computational model can receive an input vector and provide a corresponding feature vector. The processor can then locate a trial analysis region of a trial data stream based on the predetermined structure data and determine a trial model input. The processor can operate the computational model based on the trial model input to provide a trial feature vector, e.g., a signature. The processor can operate a second computational model to provide a classification based on the signature.
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