Patents Examined by Dereena T Cattunal
  • Automated machine learning scheme for software exploit prediction
    Patent number: 10264009
    Abstract: A predictive engine for analyzing existing vulnerability information to determine the likelihood of a vulnerability being exploited by malicious actors against a particular computer or network of computers. The predictive engine relies on multiple data sources providing historical vulnerability information, a plurality of predictive models, and periodic retraining of the prediction ensemble utilizing predictive models. Modeling schemes may also be used when retraining the predictive models forming the prediction ensemble.
    Type: Grant
    Filed: July 26, 2016
    Date of Patent: April 16, 2019
    Assignee: BOOZ ALLEN HAMILTON INC.
    Inventors: Eric Smyth, Aaron Sant-Miller, Kevin Field