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LIoPY: A legal compliant ontology to preserve privacy for the Internet of Things

Abstract : The Internet of Things (IoT) provides the opportunity to collect, process and analyze data. This opportunity helps to understand preferences and life patterns of individuals in order to offer them customized services. However, privacy has become a significant issue due to the personal nature of the knowledge derived from these data and the involved potential risks. Despite the increasing legislation pressure, few proposed solutions have dealt with the privacy requirements, such as consent and choice, purpose specification, and collection limitation. In this paper, we propose a privacy ontology in order to incorporate privacy legislation into privacy policies while considering several privacy requirements. Our proposed ontology aims both at making the smart devices more autonomous and able to infer data access rights and enforcing the privacy policy compliance at the execution level. We implemented and evaluated our privacy ontology based on a healthcare scenario.
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Contributor : Faiza Loukil <>
Submitted on : Friday, June 21, 2019 - 11:03:10 AM
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Faiza Loukil, Chirine Ghedira, Khouloud Boukadi, Aïcha-Nabila Benharkat. LIoPY: A legal compliant ontology to preserve privacy for the Internet of Things. 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC), Jul 2018, Tokyo, Japan. ⟨10.1109/COMPSAC.2018.10322⟩. ⟨hal-01825750⟩



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