Software Engineering Institute | Carnegie Mellon University
Software Engineering Institute | Carnegie Mellon University

Digital Library

Presentation

Human-Computer Decision Systems for Cybersecurity

  • November 2016
  • By Brian Lindauer
  • This work discovered a surprising result regarding the potential for non-experts to perform malware family analsys
  • Publisher: Software Engineering Institute
  • Abstract

    In this work, we studied multiple facts of human-ML collaboration, using both real malware classification problems and a model problem based on malware classification. We investigated methods using both supervised (active) and unsupervised learning to augment the abilities of analysts. We also discovered a surprising result regarding the potential for nonexperts to perform malware family analysis using low-imensional visualizations.

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Part of a Collection

SEI 2016 Research Review