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Detection of Illegal Information Flow

  • Conference paper
Computer Network Security (MMM-ACNS 2005)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 3685))

Abstract

Several types of statistical covert channels that break the informational system security policy ensuring a reliable information transfer between hostile agents can be detected by a competent warden. We introduce the basic detection technique and analyze the conditions under which the warden with limited resources can perform his task successfully.

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References

  1. Anderson, R.J., Petitcolas, F.A.P.: On the Limits of Steganography. IEEE Journal of Selected Areas in Communications 16(4), 474–481 (1998)

    Article  Google Scholar 

  2. Axelson, S.: The Base-Rate Fallacy and its Implications for the Difficulty Of Intrusion Detection. In: Proc. of the 6th Conference on Computer and Communications Security (November 1999)

    Google Scholar 

  3. Grusho A.: Consistent revelation conditions for rare events search a sample from the uniform distribution. In: Probabilistic problems of discrete mathematic. Moscow Institute of Electronic mechanical engineering (1987) (in Russian)

    Google Scholar 

  4. Denning, D.: An Intrusion Detection Model. In: Proceedings of the IEEE Symposium on Security and Privacy, pp. 119–131 (May 1986)

    Google Scholar 

  5. Lee, W., Xiang, D.: Information-Theoretic Meaasures for Anomaly Detection. In: IEEE Symposium on Security and Privacy, pp. 130–143 (2001)

    Google Scholar 

  6. Prokhorov, U.V, Rozanov, U.A.: Theory of probabilities. Science, Moscow (1973) (in Russian)

    Google Scholar 

  7. Timonina, E.E.: The covert channels (review). Jet Info 14(114), 3–11 (2002) (in Russian)

    Google Scholar 

  8. Vaxania, N.N., Tarielidze, V.I., Chobanian, S.A.: Probability distributions in Banach spaces. Moscow (1985) (in Russian)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Russian State University for Humanity, 25 Kirovogradskaya, Moscow, Russian Federation

    Alexander Grusho & Elena Timonina

  2. Lebedev Institute of Precise Mechanics and Computer Technology, Russian Academy of Sciences, 51 Leninsky Prospekt, Moscow, Russian Federation

    Alexander Kniazev

Authors
  1. Alexander Grusho
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  2. Alexander Kniazev
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  3. Elena Timonina
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Editor information

Editors and Affiliations

  1. St. Petersburg Intitute for Informaticsand Automation, 39, 14-th Liniya, 199178, St. Petersburg, Russia

    Vladimir Gorodetsky

  2. Computer Security Research Group, St. Petersburg Institute for Informatics and Automation, 39, 14 Liniya, 199178, St.-Petersburg, Russia

    Igor Kotenko

  3. US Air Force, Binghamton University (SUNYI), 13902, Binghamton, NY, USA

    Victor Skormin

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© 2005 Springer-Verlag Berlin Heidelberg

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Grusho, A., Kniazev, A., Timonina, E. (2005). Detection of Illegal Information Flow. In: Gorodetsky, V., Kotenko, I., Skormin, V. (eds) Computer Network Security. MMM-ACNS 2005. Lecture Notes in Computer Science, vol 3685. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11560326_18

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  • DOI: https://doi.org/10.1007/11560326_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29113-8

  • Online ISBN: 978-3-540-31998-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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