On the Role of Simulations in Engineering Self-Organising MAS: The Case of an Intrusion Detection System in TuCSoN


pagemagnifierBibTeX_logo.pngmagnifierpage_white_acrobatmagnifier

Luca Gardelli, Mirko Viroli, Andrea Omicini

Sven A. Brueckner, Giovanna Di Marzo Serugendo, David Hales, Franco Zambonelli (eds.)
“Engineering Self-Organising Systems”, part II, chapter 12, pages 153-168
Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence) 3910
Springer Berlin Heidelberg
2006

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 π-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.

3rd International Workshop “Engineering Self-Organising Applications” (ESOA 2005), Utrecht, The Netherlands, 26 July 2005. Revised Selected Papers

Journals & Series

Publication

— authors

— editors

Sven A. Brueckner, Giovanna Di Marzo Serugendo, David Hales, Franco Zambonelli

— status

published

— sort

paper in proceedings

— publication date

2006

— volume

Engineering Self-Organising Systems

— series

Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence

— volume

3910

— chapter

12

— part

II

— pages

153-168

URLs

original page  |  original PDF

identifiers

— DOI

10.1007/11734697_12

— ACM

10.1007/11734697_12

— Scopus

2-s2.0-33745800439

— WoS / ISI

000238109300012

— print ISSN

0302-9743

— print ISBN

978-3-540-33342-5

— online ISBN

978-3-540-33352-4

— ISBN–10

3-540-33342-8

notes

— note

3rd International Workshop “Engineering Self-Organising Applications” (ESOA 2005), Utrecht, The Netherlands, 26 July 2005. Revised Selected Papers

Partita IVA: 01131710376 — Copyright © 2008–2023 APICe@DISI – PRIVACY