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Privacy preserving data by conceptualizing smart cities using MIDR Angelization
حفظ حریم شخصی داده ها با مفهوم سازی شهرهای هوشمند با استفاده از MIDR Enhancing-2018 Smart City and IoT improves the performance of health, transportation, energy and reduce the consumption of
resources. Among the smart city services, Big Data analytics is one of the imperative technologies that have a
vast perspective to reach sustainability, enhanced resilience, effective quality of life and quick management of
resources. This paper focuses on the privacy of big data in the context of smart health to support smart cities.
Furthermore, the trade-off between the data privacy and utility in big data analytics is the foremost concern for
the stakeholders of a smart city. The majority of smart city application databases focus on preserving the privacy
of individuals with different disease data. In this paper, we propose a trust-based hybrid data privacy approach
named as “MIDR-Angelization” to assure privacy and utility in big data analytics when sharing same disease data
of patients in IoT industry. Above all, this study suggests that privacy-preserving policies and practices to share
disease and health information of patients having the same disease should consider detailed disease information
to enhance data utility. An extensive experimental study performed on a real-world dataset to measure instance
disclosure risk which shows that the proposed scheme outperforms its counterpart in terms of data utility and
privacy.
Keywords: Big data ، IoT data management ، Disclosure risk ، HIPAA ، Patient privacy ، Re-identification risk ، Smart city |
مقاله انگلیسی |