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Privacy Aware On-Demand Resource Provisioning for IoT Data Processing

Abstract : Edge processing in IoT networks offers the ability to enforce privacy at the point of data collection. However, such enforcement requires extra processing in terms of data filtering and the ability to configure the device with knowledge of policy. Supporting this processing with Cloud resources can reduce the burden this extra processing places on edge processing nodes and provide a route to enable user defined policy. To enable this work from the PaaSage project [12] into the Cloud modelling language is applied to IoT networks to enable standardised management of IoT and Cloud integration and enable edge processing to effectively use the Cloud in a privacy protecting way.
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Submitted on : Friday, January 15, 2016 - 3:25:57 PM
Last modification on : Thursday, January 20, 2022 - 5:33:29 PM
Long-term archiving on: : Saturday, April 16, 2016 - 10:47:41 AM


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  • HAL Id : hal-01198381, version 1


Tom Kirkham, Arnab Sinha, Nikos Parlavantzas, Bartosz Kryza, Paul Fremantle. Privacy Aware On-Demand Resource Provisioning for IoT Data Processing. IoTaaS 2015 - 2nd EAI International Conference on IoT as a Service, Oct 2015, Rome, Italy. ⟨hal-01198381⟩



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