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A Worm Filter Based on the Number of Unacknowledged Requests

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3682))

Abstract

We propose a new filter for preventing computer worms from spreading. The new worm filter limits the number of unacknowledged requests, rather than the rate of connections to new computers. Normal network traffic is analyzed to determine appropriate parameters for the worm filter. Performance evaluation showed that the worm filter stops not only high-speed worms in the wild, but also simulated slow-speed worms. Finally, the weaknesses of the worm filter is discussed.

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References

  1. Williamson, M.M.: Throttling viruses: restricting propagation to defeat malicious mobile code. In: ACSAC Security Conference 2002, pp. 61–68 (2002)

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  2. Twycross, J., Williamson, M.M.: Implementing and testing a virus throttle. In: The 12th USENIX Security Symposium, pp. 285–294 (2003)

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  3. Weaver, N., Paxson, V., Staniford, S., Cunningham, R.: A taxonomy of computer worms. In: The 2003 ACM Workshop on Rapid Malcode, pp. 11–18. ACM Press, New York (2003)

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© 2005 Springer-Verlag Berlin Heidelberg

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Okamoto, T. (2005). A Worm Filter Based on the Number of Unacknowledged Requests. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3682. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11552451_13

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  • DOI: https://doi.org/10.1007/11552451_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28895-4

  • Online ISBN: 978-3-540-31986-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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