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Dynamic Trust Scoring of Railway Sensor Information


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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hal-01807135 , version 1 (04-06-2018)



Marcin Lenart, Andrzej Bielecki, Marie-Jeanne Lesot, Teodora Petrisor, Adrien Revault d'Allonnes. Dynamic Trust Scoring of Railway Sensor Information. ICAISC 2018 - 17th International Conference on Artificial Intelligence and Soft Computing, Jun 2018, Zakopane, Poland. pp.579-591, ⟨10.1007/978-3-319-91262-2_51⟩. ⟨hal-01807135⟩
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