Applied Cryptography and Network Security: 6th International by Liang Xie, Hui Song, Suncun Zhu (auth.), Steven M. Bellovin, PDF

By Liang Xie, Hui Song, Suncun Zhu (auth.), Steven M. Bellovin, Rosario Gennaro, Angelos Keromytis, Moti Yung (eds.)

ISBN-10: 3540689133

ISBN-13: 9783540689133

This ebook constitutes the refereed lawsuits of the sixth overseas convention on utilized Cryptography and community safeguard, ACNS 2008, held in long island, big apple, united states, in June 2008.

The 30 revised complete papers offered have been rigorously reviewed and chosen from 131 submissions. The papers tackle all facets of utilized cryptography and community protection with detailed specialise in novel paradigms, unique instructions, and non-traditional perspectives.

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Additional info for Applied Cryptography and Network Security: 6th International Conference, ACNS 2008, New York, NY, USA, June 3-6, 2008. Proceedings

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CDF of Individual bot join inter-arrival times (based on data from 470 botnets) provided a botnet’s so-called “DNS footprint”. However, this footprint is, at best, a lower bound of the true infection size because that approach does not provide any indication on how many infected bots reside behind a domain where a hit was returned. In what follows, we illustrate how one can use the approach suggested in this paper to provide a better estimate of a botnet’s population. To do so, we first examine the distribution of bot request inter-arrivals.

That is equivalent to more than a three fold improvement in accuracy over the DNS footprint estimate. The observant reader would note that the error margin from the actual bot count is larger than that in Section 3. The degradation in accuracy is due to the fact that our list of target DNS resolvers only covers a subset of all DNS resolvers in the Internet. Hence, a more comprehensive list of servers would enhance the estimation accuracy. Additionally, botnet size instability (be it due to bot migration or churn [31]) also contributes to this effect.

We can efficiently detect and mark excessive flows even when up to 25% of the system’s nodes have been compromised. 2. Our algoritms require O(log2 (N)) of memory per node, where N is the overlay nodes. 42 A. E. D. Keromytis 3. The proposed pushback-like protocol remains effective even when up to 15% of the overlay nodes attempt a coordinated attack Our work is the first that attempts to detect, identify and isolate DOS flooding attacks initiated from inside an Overlay Network. The novelty of our approach lies in the exploitation of the properties inherent in these P2P systems with inference-based techniques.

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Applied Cryptography and Network Security: 6th International Conference, ACNS 2008, New York, NY, USA, June 3-6, 2008. Proceedings by Liang Xie, Hui Song, Suncun Zhu (auth.), Steven M. Bellovin, Rosario Gennaro, Angelos Keromytis, Moti Yung (eds.)


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