Research Article
Privacy Aware on-Demand Resource Provisioning for IoT Data Processing
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@INPROCEEDINGS{10.1007/978-3-319-47075-7_11, author={Tom Kirkham and Arnab Sinha and Nikos Parlavantzas and Bartosz Kryza and Paul Fremantle and Kyriakos Kritikos and Benjamin Aziz}, title={Privacy Aware on-Demand Resource Provisioning for IoT Data Processing}, proceedings={Internet of Things. IoT Infrastructures. Second International Summit, IoT 360° 2015, Rome, Italy, October 27-29, 2015, Revised Selected Papers, Part II}, proceedings_a={IOT360}, year={2017}, month={6}, keywords={Cloud computing Scalability Internet of Things Models@run.time}, doi={10.1007/978-3-319-47075-7_11} }- Tom Kirkham
Arnab Sinha
Nikos Parlavantzas
Bartosz Kryza
Paul Fremantle
Kyriakos Kritikos
Benjamin Aziz
Year: 2017
Privacy Aware on-Demand Resource Provisioning for IoT Data Processing
IOT360
Springer
DOI: 10.1007/978-3-319-47075-7_11
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. Research from the PaaSage project [12] on Cloud modelling language is applied to IoT networks to support IoT and Cloud integration linking the worlds of Cloud and IoT in a privacy protecting way.
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