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Machine Learning Methods for High Level Cyber Situation Awareness

  • Thomas G. DietterichEmail author
  • Xinlong Bao
  • Victoria Keiser
  • Jianqiang Shen
Chapter
First Online:
Part of the Advances in Information Security book series (ADIS, volume 46)

Abstract

Cyber situation awareness needs to operate at many levels of abstraction. In this chapter, we discuss situation awareness at a very high level—the behavior of desktop computer users. Our goal is to develop an awareness of what desktop users are doing as they work. Such awareness has many potential applications including

Keywords

Situation Awareness Current Project Email Message Defense Advance Research Project Agency Frequent Subgraph 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Notes

Acknowledgements

This material is based upon work supported by the Defense Advanced Research Projects Agency (DARPA) under Contract No. FA8750-07-D-0185/0004. Any opinions, findings and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the DARPA or the Air Force Research Laboratory (AFRL).

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Copyright information

© Springer-Verlag US 2010

Authors and Affiliations

  • Thomas G. Dietterich
    • 1
    Email author
  • Xinlong Bao
    • 1
  • Victoria Keiser
    • 1
  • Jianqiang Shen
    • 1
  1. 1.Oregon State University, 1148 Kelley Engineering CenterCorvallisUSA

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