By Naranker Dulay, Emil Lupu, Morris Sloman, Joe Sventek, Nagwa Badr, Stephen Heeps (auth.), Vladimir Gorodetsky, Igor Kotenko, Victor Skormin (eds.)
This quantity comprises papers awarded on the third foreign Workshop on Mathematical tools, versions and Architectures for laptop community - curity (MMM-ACNS 2005) held in St. Petersburg, Russia, in the course of September 25–27, 2005. The workshop was once geared up via the St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences (SPIIRAS) in cooperation with Binghamton college (SUNY, USA). the first and the 2d overseas Workshops on Mathematical equipment, types and Architectures for machine community safeguard (MMM-ACNS 2001 and MMM-ACNS 2003), hosted by means of the St. Petersburg Institute for Informatics and Automation, verified the willing curiosity of the foreign learn group within the topic zone. It used to be famous that carrying out a biannual sequence of such workshops in St. Petersburg stimulates fruitful exchanges among the di?erent faculties of idea, enables the dissemination of latest principles and promotesthespiritofcooperationbetweenresearchersontheinternationalscale. MMM-ACNS 2005 supplied a world discussion board for sharing unique - seek effects and alertness stories between experts in primary and utilized difficulties of laptop community safety. an immense contrast of the workshop was once its concentrate on mathematical facets of data and desktop community protection addressing the ever-increasing calls for for safe computing and hugely in charge laptop networks.
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Additional info for Computer Network Security: Third International Workshop on Mathematical Methods, Models, and Architectures for Computer Network Security, MMM-ACNS 2005, St. Petersburg, Russia, September 24-28, 2005. Proceedings
In this paper we model the behavior and eﬀectiveness of diﬀerent active worm defenses. Using a discrete stochastic model we prove that these approaches can be strongly ordered in terms of their wormﬁghting capability. Using a continuous model we consider eﬀectiveness in terms of the number of hosts that are protected from infection, the total network bandwidth consumed by the worms and the defenses, and the peak scanning rate the network endures while the worms and defenses battle. We develop optimality results, and quantitative bounds on defense performance.
For arbitrary nonmonotonic rulesets, our algorithms remain eﬃcient in the most common case where if an attacker loses a previously acquired capability, then the attacker can reacquire it when desired. The algorithms only backtrack in the event that this does not hold. Our approach permits the modelling of real-world situations where exploits have the side-eﬀect of temporarily reducing an attacker’s capabilities. References 1. : Scalable, Graph-Based Network Vulnerability Analysis. Proceedings of the 9th ACM conference on Computer and Communications Security.