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One-Class Strategies for Security Information Detection

  • Qing Tao
  • Gao-wei Wu
  • Jue Wang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3917)

Abstract

Detecting security-related information is a critical component of ISI research, which involves studying a wide range of technical and systems challenges related to the acquisition, collection, storage, retrieval, synthesis, and analysis of security-related information.

Keywords

Anomaly Detection Detection Problem Homeland Security Statistical Learn Theory Abnormal Situation 
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.

References

  1. 1.
    Chen, H., Wang, F.-Y.: Artificial Intelligence for Homeland Security. IEEE Intelligent Systems 20(5), 12–16 (2005)CrossRefGoogle Scholar
  2. 2.
    Yao, Y.Y., Wang, F.-Y., Wang, J., Zeng, D.: Rule + Exception Strategies for Security Information Analysis. IEEE Intelligent Systems 20(5), 52–57 (2005)CrossRefGoogle Scholar
  3. 3.
    Chen, H., Wang, F.-Y., Zeng, D.: Intelligence and Security informatics for Homeland Security: Information, Communication and Transportation. IEEE Trans. Intelligent Transportation Systems 5(4), 329–341 (2004)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Qing Tao
    • 1
  • Gao-wei Wu
    • 1
  • Jue Wang
    • 1
  1. 1.Institute of AutomationChinese Academy of SciencesBeijingP.R. China

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