Towards Privacy-Preserving IoT Data Publishing
نویسندگان
چکیده
The abundance and availability of personal information online and from ambient sensors has lead to an increasing rate in occurrences of privacy breaches and potential security harms to individuals. Yet, access to these information is critical for the success of many beneficial applications such as population health studies or urban planning. During this research paper we design an integrated sensing framework in order to better handle the incoming continuous data stream (time-series) from sensors embedded in different kind of data sources. We provide a trusted zone for managing access to personal time-series data to provide utilities and gains while protecting the individuals’ privacy.
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تاریخ انتشار 2017