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International Conference on Intelligence and Security Informatics

ISI 2005: Intelligence and Security Informatics pp 517–522Cite as

A Jackson Network-Based Model for Quantitative Analysis of Network Security

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3495))

Abstract

It is important for trusted intranets to focus on network security as a whole with dynamic and formalized analysis. The qualitative and current quantitative methods have difficulties to reach the requirements. After analyzing the attacking process, a Jackson network-based model with absorbing states is proposed, where the absorbing states mean the attacks succeed or fail. We compute the steady-state joint probability distribution of network nodes, the mean time of attack data spent in network, and the probabilities from the network entry node to absorbing states. According to the analysis of the above measures, we analyze the relationship between network security and performance.

This work is supported by a grant from Hubei Provincial Natural Science Foundation (No. 2004ABA018), and Science and Technology Program of Hubei Provincial Department of Education (No. 2004D005), and Science and Technology Program of Hubei Provincial Department of Education (No. D200523007).

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References

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Author information

Authors and Affiliations

  1. Computer Center, Hubei Automotive Industrial Institute, Shiyan, 442002, Hubei, P. R. China

    Zhengtao Xiang & Fei Yan

  2. College of Computer Science and Technology, Zhejiang University, Hangzhou, 310027, P. R. China

    Yufeng Chen

  3. Deparment of R & D, Hubei Automotive Industrial Institute, Shiyan, 442002, Hubei, P. R. China

    Wei Jian

Authors
  1. Zhengtao Xiang
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  2. Yufeng Chen
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  3. Wei Jian
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  4. Fei Yan
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Editor information

Editors and Affiliations

  1. Department of Library and Information Science, Rutgers University,  

    Paul Kantor

  2. School of Communication, Information and Library Studies, Rutgers University, 4 Huntington Street, 08901-1071, New Brunswick, NJ, USA

    Gheorghe Muresan

  3. Artificial Solutions, Altonaer Poststraße 13b, 22767, Hamburg, Germany

    Fred Roberts

  4. MIS Department, University of Arizona, 85721, Tucson, AZ, USA

    Daniel D. Zeng

  5. Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Fei-Yue Wang

  6. Department of Management Information Systems, Eller College of Management, The University of Arizona, 85721, AZ, USA

    Hsinchun Chen

  7. College of Computing, Georgia Tech Information Security Center, Georgia Institute of Technology, 801 Atlantic Drive, 30332-0280, Atlanta, GA, USA

    Ralph C. Merkle

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© 2005 Springer-Verlag Berlin Heidelberg

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Xiang, Z., Chen, Y., Jian, W., Yan, F. (2005). A Jackson Network-Based Model for Quantitative Analysis of Network Security. In: Kantor, P., et al. Intelligence and Security Informatics. ISI 2005. Lecture Notes in Computer Science, vol 3495. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11427995_52

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  • DOI: https://doi.org/10.1007/11427995_52

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25999-2

  • Online ISBN: 978-3-540-32063-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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