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

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

This e-book constitutes the refereed lawsuits of the sixth foreign convention on utilized Cryptography and community safeguard, ACNS 2008, held in manhattan, big apple, united states, in June 2008.

The 30 revised complete papers provided have been conscientiously reviewed and chosen from 131 submissions. The papers handle all elements of utilized cryptography and community protection with distinct specialize in novel paradigms, unique instructions, and non-traditional perspectives.

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

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In a Pushback-enabled routing system, a router cognizant of the bandwidth limitations of downstream nodes may adopt a more proactive forwarding strategy. Instead of sending packets down a congested link (where they would be lost) or dropping such packets itself (which does not address the root of the problem: too much inbound traffic), the router would instruct (some of) its upstream routers not to forward certain packets. Heuristics are employed to identify the flows, or “aggregates” (packets having some common property, such as the same destination IP address and TCP port), responsible for the downstream congestion.

Internet motion sensor: A distributed blackhole monitoring system. In: Proceedings of the ISOC Network and Distributed System Security Symposium (NDSS) (2005) 4. : A Technique for Counting NATted Hosts. In: Proceedings of the 2nd ACM SIGCOMM Workshop on Internet measurment (IMW), pp. 267–272 (2002) 5. : Mapping Internet Sensors with Probe Response Attacks. In: Proceedings of the 14th USENIX Security Symposium, August 2005, pp. 193–212 (2005) 6. : Sawm: a tool for secure and authenticated web metering.

4 hours). Given knowledge of the distribution of bot request inter-arrivals, we now apply our estimation technique. In order to have a baseline for validation, we only choose botnets whose member counts are sufficiently large and can be calculated directly from the IRC traces. This yields two botnets, with member counts of 12,700 and 10,690 respectively. 1. Following the methodology from Section 2, for each resolver, we send a sequence of cache probes spaced by the T T L for the botnet server name in question then we estimate the botnet population by calculating the sum of the estimated number of bots n served by each resolver.

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