Detecting and Isolating Inconsistently Behaving Agents using an Intelligent Control Loop

Jan Kantert, Sarah Edenhofer, Sven Tomforde, Jörg Hähner, Christian Müller-Schloer

2015

Abstract

Desktop Computing Grids provide a framework for joining in and sharing resources with others. The result is a self-organised system that typically consists of numerous distributed autonomous entities. Openness and heterogeneity postulate severe challenges to the overall system’s stability and efficiency since uncooperative and even malicious participants are free to join. In this paper, we present a concept for identifying agents with exploitation strategies that works on a system-wide analysis of trust and work relationships. Afterwards, we introduce a system-wide control loop to isolate these malicious elements using a norm-based approach – due to the agents’ autonomy, we have to build on indirect control actions. Within simulations of a Desktop Computing Grid scenario, we show that the intelligent control loop works highly successful: these malicious elements are identified and isolated with a low error rate. We further demonstrate that the approach results in a significant increase of utility for all participating benevolent agents.

Paper Citation

in Harvard Style

Kantert J., Edenhofer S., Tomforde S., Hähner J. and Müller-Schloer C. (2015). Detecting and Isolating Inconsistently Behaving Agents using an Intelligent Control Loop . In Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-122-9, pages 246-253. DOI: 10.5220/0005548402460253

in Bibtex Style

@conference{icinco15,
author={Jan Kantert and Sarah Edenhofer and Sven Tomforde and Jörg Hähner and Christian Müller-Schloer},
title={Detecting and Isolating Inconsistently Behaving Agents using an Intelligent Control Loop},
booktitle={Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2015},
pages={246-253},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005548402460253},
isbn={978-989-758-122-9},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Detecting and Isolating Inconsistently Behaving Agents using an Intelligent Control Loop
SN - 978-989-758-122-9
AU - Kantert J.
AU - Edenhofer S.
AU - Tomforde S.
AU - Hähner J.
AU - Müller-Schloer C.
PY - 2015
SP - 246
EP - 253
DO - 10.5220/0005548402460253