Trust Dynamics: A Case-study on Railway Sensors

Marcin Lenart, Andrzej Bielecki, Marie-Jeanne Lesot, Teodora Petrisor, Adrien d’Allonnes

2019

Abstract

Sensors constitute information providers which are subject to imperfections and assessing the quality of their outputs, in particular the trust that can be put in them, is a crucial task. Indeed, timely recognising a low-trust sensor output can greatly improve the decision making process at the fusion level, help solving safety issues and avoiding expensive operations such as either unnecessary or delayed maintenance. In this framework, this paper considers the question of trust dynamics, i.e. its temporal evolution with respect to the information flow. The goal is to increase the user understanding of the trust computation model, as well as to give hints about how to refine the model and set its parameters according to specific needs. Considering a trust computation model based on three dimensions, namely reliability, likelihood and credibility, the paper proposes a protocol for the evaluation of the scoring method, in the case when no ground truth is available, using realistic simulated data to analyse the trust evolution at the local level of a single sensor. After a visual and formal analysis, the scoring method is applied to real data at a global level to observe interactions and dependencies among multiple sensors.

Paper Citation

in Harvard Style

Lenart M., Bielecki A., Lesot M., Petrisor T. and d’Allonnes A. (2019). Trust Dynamics: A Case-study on Railway Sensors.In Proceedings of the 8th International Conference on Sensor Networks - Volume 1: SENSORNETS, ISBN 978-989-758-355-1, pages 47-57. DOI: 10.5220/0007394800470057

in Bibtex Style

@conference{sensornets19,
author={Marcin Lenart and Andrzej Bielecki and Marie-Jeanne Lesot and Teodora Petrisor and Adrien d’Allonnes},
title={Trust Dynamics: A Case-study on Railway Sensors},
booktitle={Proceedings of the 8th International Conference on Sensor Networks - Volume 1: SENSORNETS,},
year={2019},
pages={47-57},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007394800470057},
isbn={978-989-758-355-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 8th International Conference on Sensor Networks - Volume 1: SENSORNETS,
TI - Trust Dynamics: A Case-study on Railway Sensors
SN - 978-989-758-355-1
AU - Lenart M.
AU - Bielecki A.
AU - Lesot M.
AU - Petrisor T.
AU - d’Allonnes A.
PY - 2019
SP - 47
EP - 57
DO - 10.5220/0007394800470057