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Framework for classifying an object as malicious with machine learning for deploying updated predictive models

  • US 10,366,231 B1
  • Filed: 06/26/2017
  • Issued: 07/30/2019
  • Est. Priority Date: 12/22/2014
  • Status: Active Grant
First Claim
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1. An apparatus comprising:

  • one or more processors; and

    a non-transitory storage medium communicatively coupled to the one or more processors, the non-transitory storage medium comprisesa first analysis engine that, during execution by the one or more processors, analyzes an object to determine if one or more features of the object indicate that the object is malicious, anda second analysis engine that, during execution by the one or more processors, receives results of the analysis of the object conducted by the first analysis engine, and analyzes, based at least in part on the results from the first analysis engine, whether the object is malicious in accordance with a predictive model,wherein, in response to the first analysis engine and the second analysis engine differing in a determination as to whether the object is classified as malicious, uploading information associated with an analysis of the object by at least one of the first analysis engine and the second analysis engine for determining whether an update of the predictive model is to occur, the update of the predictive model being trained using one or more features of the object.

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