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Method and Apparatus for Detecting Malicious Software Using Machine Learning Techniques

  • US 20150026810A1
  • Filed: 10/03/2014
  • Published: 01/22/2015
  • Est. Priority Date: 12/01/2010
  • Status: Active Grant
First Claim
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1. One or more non-transitory computer readable storage media encoded with instructions that, when executed by one or more computer processors, cause the one or more computer processors to perform operations comprising:

  • before execution of a software application, extracting a feature vector from the software application by applying a mathematical transformation operation to the software application to generate a series of values that represents features of the software application and that is indicative of whether or not the software application is likely to be benign or malicious; and

    generating information indicative of a maliciousness of the software application by applying said feature vector to a classification algorithm concerning whether said software application is benign or potentially malicious.

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