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A framework for trust assessment of sensor data

Laurent Gomez Xavier Gentile Michel Riveill 1
1 Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis (I3S) / Equipe RAINBOW
Laboratoire I3S - SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
Abstract : Nowadays, Wireless Sensor Networks appear to be mature enough to be used by business applications. As delivered sensor data can strongly impact end users decision taking, business applications must rely on trustworthy sensor data. In this paper, we propose the evaluation of a trust model for sensor data [1] during its life-cycle from acquisition at the nodes, through processing to delivery to business applications. The purpose of this trust framework is the detection of erroneous sensor data which are originated either unintentionally due to defective sensor nodes or intentionally by attackers. For the evaluation of this approach, we use sensor data acquired from herd control experiment, in the context of the WASP (Wireless Accessible for Sensor Population) project[2]. In this experiment, information (e.g. acceleration, activity) of either animals are collected from sensor nodes, and used in order to take a decision by farmers.
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Submitted on : Tuesday, July 5, 2016 - 3:27:36 PM
Last modification on : Friday, May 29, 2020 - 5:04:01 AM




Laurent Gomez, Xavier Gentile, Michel Riveill. A framework for trust assessment of sensor data. 4th Joint IFIP Wireless and Mobile Networking Conference (WMNC), 2011 , Nov 2010, Toulouse, France. pp.1-7, ⟨10.1109/WMNC.2011.6097260⟩. ⟨hal-01342223⟩



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