Chapter 8. Toward Evaluating the Dependability of Anomaly Detectors

  1. Karama Kanoun2 and
  2. Lisa Spainhower3
  1. Kymie M. C. Tan and
  2. Roy A. Maxion

Published Online: 7 JAN 2008

DOI: 10.1002/9780470370506.ch8

Dependability Benchmarking for Computer Systems

Dependability Benchmarking for Computer Systems

How to Cite

Tan, K. M. C. and Maxion, R. A. (2008) Toward Evaluating the Dependability of Anomaly Detectors, in Dependability Benchmarking for Computer Systems (eds K. Kanoun and L. Spainhower), John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470370506.ch8

Editor Information

  1. 2

    LAAS-CNRS, University of Toulouse, Toulouse, France

  2. 3

    IBM, Poughkeepsie, New York, USA

Author Information

  1. Computer Science Department, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA

Publication History

  1. Published Online: 7 JAN 2008
  2. Published Print: 11 JUL 2008

ISBN Information

Print ISBN: 9780470230558

Online ISBN: 9780470370506

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Keywords:

  • anomaly detector dependability evaluation;
  • test data composition and effectiveness impacts;
  • correct-rejection rates and receiver operating-characteristic (ROC) curve

Summary

This chapter contains sections titled:

  • Introduction

  • Background and Related Work

  • The Issue of Ground Truth

  • Composition of Training Data—;Impacts On Effectiveness

  • Composition of Test Data—Impacts On Effectiveness

  • Injection Issues

  • Analyzing the Results

  • Conclusion

  • Acknowledgments

  • References