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2017 13th European Dependable Computing Conference (EDCC) (2017)
Geneva, Switzerland
Sept. 4, 2017 to Sept. 8, 2017
ISBN: 978-1-5386-0602-5
pp: 117-120
Despite years of research and the long-lasting promise of pervasiveness of an "Internet of Things", it is only recently that a truly convincing number of connected things have been deployed in the wild. New services are now being built on top of these things and allow to realize the IoT vision.However, integration of things in complex and interconnected systems is still only in the hands of their manufacturers and of Cloud providers supporting IoT integration platforms. Several issues associated with data privacy arise from this situation. Not only do users need to trust manufacturers and IoT platforms for handling their data, but integration between heterogeneous platforms is still only incipient.In this position paper, we chart a new IoT architecture, SAFETHINGS, that aims at enabling data privacy by design, and that we believe can serve as the foundation for a more comprehensive IoT integration. The SAFETHINGS architecture is based on two simple but powerful conceptual component families, the cleansers and blenders, that allow data owners to get back the control of IoT data and its processing.
Data privacy, Computer architecture, Data analysis, Protocols, Data security
Manuel Barbosa, Sonia Ben Mokhtar, Pascal Felber, Francisco Maia, Miguel Matos, Rui Oliveira, Etienne Riviere, Valerio Schiavoni, Spyros Voulgaris, "SAFETHINGS: Data Security by Design in the IoT", 2017 13th European Dependable Computing Conference (EDCC), vol. 00, no. , pp. 117-120, 2017, doi:10.1109/EDCC.2017.33
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