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Title On the Role of Simulations in Engineering Self-organising MAS: The Case of an Intrusion Detection System in TuCSoN
Authors Luca Gardelli, Mirko Viroli, Andrea Omicini
Type In Article Collection/Post-proceedings
Booktitle Engineering Self-Organising Systems
Publisher Springer Berlin / Heidelberg
Pages 153 -- 166
Volume 3910
Editor Brueckner, Sven A. and Di Marzo Serugendo, Giovanna and Hales, David and Zambonelli, Franco
ISBN 3-540-33342-8
ISSN 0302-9743
DOI 10.1007/11734697_12
Year 2006
Note Third International Workshop, ESOA 2005, Utrecht, The Netherlands, July 25, 2005, Revised Selected Papers
Abstract The intrinsic complexity of self-organising MASs (multi-agent systems) suggests the use of formal methods at early stages of the design process in order to predict global system evolutions. In particular, we evaluate the use of simulations of high-level system models to analyse properties of a design, which can anticipate the detection of wrong design choices and the tuning of system parameters, so as to rapidly converge to given overall requirements and performance factors. We take intrusion detection (ID) as a case, and devise an architecture inspired by principles from human immune systems. This is based on the TuCSoN infrastructure, which provides agents with an environment of artifacts—most notably coordination artifacts and agent coordination contexts. We then use stochastic pi-calculus for specifying and running quantitative, large-scale simulations, which allow us to verify the basic applicability of our ID and obtain a preliminary set of its main working parameters.
 
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Luca Gardelli, PhD @ Alma Mater Studiorum-Università di Bologna