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The Probability Model of Peer-to-Peer Botnet Propagation

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Algorithms and Architectures for Parallel Processing (ICA3PP 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7016))

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Abstract

Active Peer-to-Peer worms are great threat to the network security since they can propagate in automated ways and flood the Internet within a very short duration. Modeling a propagation process can help us to devise effective strategies against a worm’s spread. This paper presents a study on modeling a worm’s propagation probability in a P2P overlay network and proposes an optimized patch strategy for defenders. Firstly, we present a probability matrix model to construct the propagation of P2P worms. Our model involves three indispensible aspects for propagation: infected state, vulnerability distribution and patch strategy. Based on a fully connected graph, our comprehensive model is highly suited for real world cases like Code Red II. Finally, by inspecting the propagation procedure, we propose four basic tactics for defense of P2P botnets. The rationale is exposed by our simulated experiments and the results show these tactics are of effective and have considerable worth in being applied in real-world networks

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References

  1. Arce, I., Levy, E.: An analysis of the slapper worm. IEEE Security & Privacy Magazine 1, 82–87 (2003)

    Article  Google Scholar 

  2. Holz, T., Steiner, M., Dahl, F., Biersack, E., Freiling, F.: Measurement and mitigation of peer-to-peer-based botnets: a case study on storm worm. In: The 1st Usenix Workshop on Large-Scale Exploits and Emergent Threats, San Francisco, USA, pp. 1–9 (April 2008)

    Google Scholar 

  3. Fan, X., Xiang, Y.: Modeling the propagation of Peer-to-Peer worms. Future Gener. Comp. Sy. 26, 1433 (2010)

    Article  Google Scholar 

  4. Yu, W.: Analyze the worm-based attack in large scale P2P networks. In: 8th IEEE International Symposium on High Assurance Systems Engineering, pp. 308–309. IEEE Press, Tampa (2004)

    Google Scholar 

  5. Zou, C.C., Gong, W., Towsley, D.: Code Red worm propagation modeling and analysis. In: 9th ACM Conference on Computer and Communications Security, Washington, pp. 138–147 (2002)

    Google Scholar 

  6. CAIDA Analysis of Code-Red, http://www.caida.org/research/security/code-red/

  7. Bailey, N.T.: The Mathematical Theory of Infectious Diseases and its Applications. Hafner Press, New York (1975)

    MATH  Google Scholar 

  8. Frauenthal, J.C.: Mathematical Modeling in Epidemiology. Springer, New York (1980)

    Book  MATH  Google Scholar 

  9. Staniford, S., Paxson, V., Weaver, N.: How to own the internet in your spare time. In: The 11th USENIX Security Symposium, San Francisco, pp. 149–167. ACM, CA (2002)

    Google Scholar 

  10. Andersson, H., Britton, T.: Stochastic Epidemic Models and their Statistical Analysis. Springer, New York (2000)

    Book  MATH  Google Scholar 

  11. Chen, Z., Gao, L., Kwiat, K.: Modeling the spread of active worms. In: IEEE INFOCOM, pp. 1890–1900 (2003)

    Google Scholar 

  12. Wang, Y., Wang, C.: Modeling the effects of timing parameters on virus propagation. In: WORM 2003, Washington, DC, USA, pp. 61–66 (2003)

    Google Scholar 

  13. Rohloff, K., Basar, T.: Stochastic behavior of random constant scanning worms. In: The 14th ICCCN, San Diego, CA, USA, pp. 339–344 (2005)

    Google Scholar 

  14. Daley, D.J., Gani, J.: Epidemic Modelling: An Introduction. Cambridge University Press, Cambridge (1999)

    Book  MATH  Google Scholar 

  15. Andersson, H., Britton, T.: Stochastic Epidemic Models and their Statistical Analysis. Springer, New York (2000)

    Book  MATH  Google Scholar 

  16. Sellke, S., Shroff, N.B., Bagchi, S.: Modeling and automated containment of worms. In: DSN 2005, pp. 528–537 (2005)

    Google Scholar 

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© 2011 Springer-Verlag Berlin Heidelberg

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Wang, Y., Wen, S., Zhou, W., Zhou, W., Xiang, Y. (2011). The Probability Model of Peer-to-Peer Botnet Propagation. In: Xiang, Y., Cuzzocrea, A., Hobbs, M., Zhou, W. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2011. Lecture Notes in Computer Science, vol 7016. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24650-0_41

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  • DOI: https://doi.org/10.1007/978-3-642-24650-0_41

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24649-4

  • Online ISBN: 978-3-642-24650-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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