Defending autonomous agents against attacks in multi-agent systems using norms

  • The Trusted Desktop Grid (TDG) is a self-organised, agent-based organisation, where agents perform computational tasks for others to increase their performance. In order to establish a fair distribution and provide counter-measures against egoistic or malicious elements, technical trust is used. A fully self-organised approach can run into disturbed states such as a trust breakdown of the system that lead to unsatisfying system performance although the majority of participants is still behaving well. We previously introduced an additional system-wide control loop to detect and alleviate disturbed situations. Therefore, we describe an Observer/Controller loop at system level that monitors the system status and intervenes if necessary. This paper focuses on the controller part which instantiates norms as reaction to observed suspicious situations. We demonstrate the benefit of our approach within a Repast-based simulation of the TDG. Therein, the impact of disturbances on the systemThe Trusted Desktop Grid (TDG) is a self-organised, agent-based organisation, where agents perform computational tasks for others to increase their performance. In order to establish a fair distribution and provide counter-measures against egoistic or malicious elements, technical trust is used. A fully self-organised approach can run into disturbed states such as a trust breakdown of the system that lead to unsatisfying system performance although the majority of participants is still behaving well. We previously introduced an additional system-wide control loop to detect and alleviate disturbed situations. Therefore, we describe an Observer/Controller loop at system level that monitors the system status and intervenes if necessary. This paper focuses on the controller part which instantiates norms as reaction to observed suspicious situations. We demonstrate the benefit of our approach within a Repast-based simulation of the TDG. Therein, the impact of disturbances on the system performance is decreased significantly and the time to recover is shortened.show moreshow less

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Metadaten
Author:Jan Kantert, Sarah Edenhofer, Sven TomfordeGND, Jörg HähnerORCiDGND, Christian Müller-Schloer
URN:urn:nbn:de:bvb:384-opus4-477983
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/47798
ISBN:978-989-758-073-4OPAC
Parent Title (English):Proceedings of the International Conference on Agents and Artificial Intelligence (ICAART-2015), Lisabon, Portugal, 10-12 January 2015
Publisher:SciTePress
Place of publication:Setúbal
Editor:Stephane Loiseau, Joaquim Filipe, Beatrice Duval, Jaap van den Herik
Type:Conference Proceeding
Language:English
Year of first Publication:2015
Publishing Institution:Universität Augsburg
Release Date:2019/03/13
Issue:Volume 2
First Page:149
Last Page:156
DOI:https://doi.org/10.5220/0005202101490156
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Organic Computing
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):CC-BY-NC-ND 4.0: Creative Commons: Namensnennung - Nicht kommerziell - Keine Bearbeitung (mit Print on Demand)