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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CITATION STYLE
Kirkham, T., Sinha, A., Parlavantzas, N., Kryza, B., Fremantle, P., Kritikos, K., & Aziz, B. (2016). Privacy aware on-demand resource provisioning for IoT data processing. In Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST (Vol. 170, pp. 87–95). Springer Verlag. https://doi.org/10.1007/978-3-319-47075-7_11
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