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A Statistical Model for Detecting Abnormality in Static-Priority Scheduling Networks with Differentiated Services

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Computational Intelligence and Security (CIS 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3802))

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Abstract

This paper presents a new statistical model for detecting signs of abnormality in static-priority scheduling networks with differentiated services at connection levels on a class-by-class basis. The formulas in terms of detection probability, miss probability, probabilities of classifications, and detection threshold are proposed.

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Author information

Authors and Affiliations

  1. School of Information Science & Technology, East China Normal University, Shanghai, 200062, China

    Ming Li

  2. Department of Computer Science, Texas A&M University, College Station, TX, 77843-1112, USA

    Wei Zhao

Authors
  1. Ming Li
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  2. Wei Zhao
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Editor information

Editors and Affiliations

  1. Microelectronic Instiute, Xidian University, 710071, Xi’an, China

    Yue Hao

  2. Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong

    Jiming Liu

  3. School of Computer Science and Technology, Xidian University, Xi’an, China

    Yu-Ping Wang

  4. Department of Computer Science, Hong Kong Baptist University, Hong Kong,  

    Yiu-ming Cheung

  5. School of Electrical and Electronic Engineering, University of Manchester, UK

    Hujun Yin

  6. Life Science Research Center, School of Electronic Engineering, Xidian University, 710071, Xi’an, Shaanxi, China

    Licheng Jiao

  7. Key Laboratory of Computer Networks and Information Security(Ministry of Education), Xidian University, 710071, Xi’an, China

    Jianfeng Ma

  8. National Laboratory of Antennas and Microwave Technology, Xidian University, 710071, Xi’an, Shanxi, P.R. China

    Yong-Chang Jiao

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© 2005 Springer-Verlag Berlin Heidelberg

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Cite this paper

Li, M., Zhao, W. (2005). A Statistical Model for Detecting Abnormality in Static-Priority Scheduling Networks with Differentiated Services. In: Hao, Y., et al. Computational Intelligence and Security. CIS 2005. Lecture Notes in Computer Science(), vol 3802. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11596981_39

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  • DOI: https://doi.org/10.1007/11596981_39

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30819-5

  • Online ISBN: 978-3-540-31598-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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