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2018 | OriginalPaper | Chapter

Dynamic Trust Scoring of Railway Sensor Information

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

Published in: Artificial Intelligence and Soft Computing

Publisher: Springer International Publishing

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Abstract

A sensor can encounter many situations where its readings can be untrustworthy and the ability to recognise this is an important and challenging task. It opens the possibility to assess sensors for forensic or maintenance purposes, compare them or fuse their information. We present a proposition to score a piece of information produced by a sensor as an aggregation of three dimensions called reliability, likelihood and credibility into a trust value that take into account a temporal component. The approach is validated on data from the railway domain.

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Title: Dynamic Trust Scoring of Railway Sensor Information
Authors: Marcin Lenart
Andrzej Bielecki
Marie-Jeanne Lesot
Teodora Petrisor
Adrien Revault d’Allonnes
Publisher: Springer International Publishing
Book: Artificial Intelligence and Soft Computing
Print ISBN: 978-3-319-91261-5

Electronic ISBN: 978-3-319-91262-2

Copyright Year: 2018
DOI: https://doi.org/10.1007/978-3-319-91262-2_51

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