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National Science Foundation

Cyber-Physical Systems Virtual Organization

Fostering collaboration among CPS professionals in academia, government, and industry

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machine learning

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Visible to the public Lessons Learned from Experimenting with Machine Learning in Intrusion Analysis

Submitted by Anonymous on Mon, 12/03/2012 - 6:54pm. Contributors:
  • Loai Zomlot
  • Xinming Ou
  • Doina Caragea
  • Sathya Chandran

ABSTRACT

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  • Enterprise Network Security
  • Intrusion Detection and Analysis
  • Kansas State University
  • machine learning
  • Poster
  • Academia
  • Posters
  • Science of Security Community Meeting, Nov '12
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Jeffrey Heinz 

  • CPS Domains
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  • Composition
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  • CPS Technologies
  • machine learning
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  • Delaware
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Visible to the public Predictive Moving Target Defense

Submitted by adyson on Tue, 05/29/2012 - 2:58pm. Contributors:
  • Richard Colbaugh
  • Kristin Glass

 

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    • 551 downloads
  • adaptive adversaries
  • cyber security.
  • game theory
  • machine learning
  • moving target defense
  • New Mexico Institute of Mining and Technology
  • predictive defense
  • Sandia National Laboratories
  • Conference paper
  • Academia
  • MTRS 2012 Presentations

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