ColPri: Towards a Collaborative Privacy Knowledge Management Ontology for the Internet of Things
| Autor: | Amri Toumia, Samuel Szoniecky, Imad Saleh |
|---|---|
| Přispěvatelé: | Laboratoire Paragraphe (PARAGRAPHE), Université Paris 8 Vincennes-Saint-Denis (UP8)-CY Cergy Paris Université (CY), Saleh, Imad |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Knowledge management
Computer science business.industry Process (engineering) Privacy policy Data_MISCELLANEOUS 05 social sciences Context (language use) Cloud computing 02 engineering and technology [INFO] Computer Science [cs] Ontology (information science) Task (project management) 020204 information systems 0502 economics and business 0202 electrical engineering electronic engineering information engineering Use case [INFO]Computer Science [cs] Dimension (data warehouse) business 050203 business & management ComputingMilieux_MISCELLANEOUS |
| Zdroj: | 2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC) 2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC), Apr 2020, Paris, France FMEC HAL |
| Popis: | User privacy preferences management is a nontrivial task. In the context of the Internet of Things (IoT), where a huge amount of data is generated, transferred and stored via various local and cloud architectures, privacy protection becomes complex and hard to manage. Indeed, privacy management is a time-consuming activity that requires a lot of knowledge which most of IoT system users often lack or are not keen on acquiring due to its complexity. The knowledge dimension has often been neglected, by both researchers and industry. In this article, we focus on the privacy protection knowledge management aspect. We produce a first version of ColPri, an ontology that sets the basis for a collaborative extensible privacy protection knowledge management system that is able to collaboratively produce diagnosis of IoT stakeholders privacy policies. This paper aims to investigate collaborative privacy knowledge management in the IoT and how non-technical users could benefit from it to easily configure their privacy policies. It allows an open exchange of privacy-related knowledge. We propose ColPri, a collaborative privacy ontology after specifying design requirements that guided our choices during the ontology creation process. This ontology lays out the use of a privacy community to create and develop privacy-related information within a user-centric privacy architecture. Then, we show how to use this ontology through a use case scenario. Finally, we describe future research based on this work. |
| Databáze: | OpenAIRE |
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