Investigation on Operating Systems Identification by Means of Fractal Geometry and OS Pseudorandom Number Generators

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 189)


This work demonstrates a novel way how to identify the operating systems and networking devices working with TCP / IP stack on the basis of differences in their random number generators. We also sketch possible OS identification based on fractal geometry and neural networks.


Computer security TCP/IP operating system fingerprinting port scanning pseudorandom numbers generator fractal geometry neural networks 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Strange Attractors and TCP/IP Sequence Number Analysis,
  2. 2.
    Dorrendorf, L., Gutterman, Z., Pinkas, B.: Cryptoanalysis of the Random Number Generator of the Windows Operating System. ACM Transactions on Information and System Security 13(1)Google Scholar
  3. 3.
    Dorrendorf, L., Gutterman, Z., Reinman, T.: Analysis of the Linux Random Number Generator. In: SP 2006 Proceedings of the 2006 IEEE Symposium on Security and Privacy. IEEE Computer Society, Washington, DC (2006)Google Scholar
  4. 4.
    Jiao, J., Wu, W.: A Method of Identify OS Based On TCP/IP Fingerprint. IJCSNS International Journal of Computer Science and Network Security 6(7B) (July 2006)Google Scholar
  5. 5.
    Howard, M., LeBlanc, D.: Writing secure code. Microsoft Press, ISBN-10: 0735617228Google Scholar
  6. 6.
    FIPS 140-1 Security requirements for cryptographics modules,
  7. 7.
    Lecture 28: Random Numbers - Richard Buckland UNSW (2008),
  8. 8.
    Bose, N.K., Liang, P.: Neural Network Fundamentals with Graphs, Algorithms, and Applications. McGraw-Hill Series in Electrical and Computer Engineering (1996) ISBN 0-07-006618-3Google Scholar
  9. 9.
    Barnsley, M.: Fractals Everywhere. Academic Professional Press (1993) ISBN 0-12-079061-0 Google Scholar
  10. 10.
    Hilborn, R.C.: Chaos and Nonlinear Dynamics. Oxford University Press, UK (1994) ISBN 0-19-508816-8Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Department of Computer Science, Faculty of Electrical Engineering and Computer ScienceVŠB-TUOOstravaCzech Republic
  2. 2.Getmore s.r.oPragueCzech Republic

Personalised recommendations