DICON: a domain-independent consent management for personal data protection

Basit Öğe Kaydı
dc.authorid0000-0001-6812-5166en_US
dc.contributor.authorOlca, Emre
dc.contributor.authorCan, Özgü
dc.date.accessioned2024-07-12T20:59:23Z
dc.date.available2024-07-12T20:59:23Z
dc.date.issued2022en_US
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Yazılım Mühendisliği Bölümüen_US
dc.description.abstractThe development of technology accelerated the digital transformation of information systems. As a consequence of this digitization, data became available at any time and in any place. However, despite this ease of data accessibility, persons’ privacy concerns and threats to data privacy have emerged. Thus, serious privacy problems arise while collecting, storing, accessing, sharing, and archiving personal data. Consent management aims to prevent these problems by preserving privacy and protecting personal data. Hence, there are international treaties and legal regulations for personal data protection which state that consent is required to collect, store, manage and share personal data. In this study, a Semantic Web-based personal consent management model is proposed to protect personal data privacy. The proposed model is domain-independent and aims to control and manage the consent of a person. In order to provide the privacy protection of personal data, the proposed model allows individuals to establish their privacy preferences by determining who can access their personal information, for what purposes, and under what circumstances. For this purpose, a group of ontology is created to ensure the informed consent process. The proposed consent management model is generic. As similar to general personal information, personal health information is also sensitive and must be protected from data leakage. Therefore, the proposed generic model is implemented with Semantic Web technologies and demonstrated for the healthcare domain.en_US
dc.identifier.citationOlca, E. and Can, Ö. (2022). DICON: a domain-independent consent management for personal data protection, IEEE Access, 1, s.95479-95497.en_US
dc.identifier.doi10.1109/ACCESS.2022.3204970
dc.identifier.endpage95497en_US
dc.identifier.issn2169-3536
dc.identifier.scopus2-s2.0-85137862870en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage95479en_US
dc.identifier.urihttps://doi.prg/10.1109/ACCESS.2022.3204970
dc.identifier.urihttps://hdl.handle.net/20.500.12415/3287
dc.identifier.volume1en_US
dc.identifier.wosWOS:000854543400001en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorOlca, Emre
dc.language.isoenen_US
dc.publisherIEEE Accessen_US
dc.relation.ispartofIEEE Accessen_US
dc.relation.publicationcategoryUluslararası Hakemli Dergide Makale - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmzKY01210
dc.subjectConsenten_US
dc.subjectData protectionen_US
dc.subjectKnowledge-based systemsen_US
dc.subjectKnowledge representationen_US
dc.subjectOntologyen_US
dc.subjectPrivacyen_US
dc.subjectSemantic weben_US
dc.titleDICON: a domain-independent consent management for personal data protectionen_US
dc.typeArticle
dspace.entity.typePublication

Dosyalar

Koleksiyon

Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu
WoS İndeksli Yayınlar Koleksiyonu