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

Digital Library

Javascript is currently disabled for your browser. For an optimal search experience, please enable javascript.

Advanced Search

Basic Search

Content Type

Topics

Publication Date

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.

  • Download

Part of a Collection

SEI 2016 Research Review