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dc.date.accessioned2022-11-30T08:15:04Z
dc.date.available2022-11-30T08:15:04Z
dc.date.issued2021
dc.identifier.urihttp://hdl.handle.net/10852/97854
dc.description.abstractPrivacy is recognized as a fundamental human right in the European Union, giving the right to a private life and associated freedom. In the midst of digital disruption, to have a meaningful balance between the fundamental privacy rights, innovation, and economic growth, it is therefore important to consider privacy as a primary requirement in system engineering. This thesis provides fundamental computing concepts for privacy, in order to facilitate construction of privacy-compliant systems. By making privacy as an intrinsic component in design and development of systems, contributions of this thesis provide a way to turn privacy needs into tangible controls and a way to verify if the system is privacy compliant. In particular, the thesis focus on GDPR’s specific privacy requirements: data protection by design and data subject access request. There is a growing demand for verifiable privacy compliance in order to produce evidence for regulatory requirements such as accountability, transparency, etc. And this research work is at the intersection of GDPR-related privacy requirements and formal methods to facilitate a formal specification and verification of privacy compliance.en_US
dc.language.isoenen_US
dc.relation.haspartPaper I: A secrecy-preserving language for distributed and object-oriented systems. Toktam Ramezanifarkhani, Olaf Owe, Shukun Tokas. Published in The Journal of Logic and Algebraic Programming, October 2018, vol. 99, pp. 1–25. DOI: 10.1016/j.jlamp.2018.04.001. The article is included in the thesis. Also available at: https://doi.org/10.1016/j.jlamp.2018.04.001
dc.relation.haspartPaper II: Language-based mechanisms for privacy by design. Shukun Tokas, Olaf Owe, Toktam Ramezanifarkhani. Published in Proceedings of the 14th IFIP International Summer School on Privacy and Identity Management, June 2019, volume 576, pp. 142–158. DOI: 10.1007/978-3-030-42504-3_10. The article is included in the thesis. Also available at: https://doi.org/10.1007/978-3-030-42504-3_10
dc.relation.haspartPaper III: Static checking of GDPR-related privacy compliance for object-oriented distributed systems. Shukun Tokas, Olaf Owe, Toktam Ramezanifarkhani. Journal of Logical and Algebraic Methods in Programming, 2021, vol. 125;100733. DOI: 10.1016/j.jlamp.2021.100733. The article is included in the thesis. Also available at: https://doi.org/10.1016/j.jlamp.2021.100733
dc.relation.haspartPaper IV: A formal framework for consent management. Shukun Tokas, Olaf Owe. Published in Proceedings of the 40th International Conference on Formal Techniques for Distributed Objects, Components, and Systems, FORTE 2020, June 2020, pp. 169–186. DOI: 10.1007/978-3-030-50086-3_10. The article is included in the thesis. Also available at: https://doi.org/10.1007/978-3-030-50086-3_10
dc.relation.urihttps://doi.org/10.1016/j.jlamp.2018.04.001
dc.relation.urihttps://doi.org/10.1007/978-3-030-42504-3_10
dc.relation.urihttps://doi.org/10.1016/j.jlamp.2021.100733
dc.relation.urihttps://doi.org/10.1007/978-3-030-50086-3_10
dc.titleAnalysis and Enforcement of GDPR-related Privacy Principles in Object-Oriented Distributed Systemsen_US
dc.typeDoctoral thesisen_US
dc.creator.authorTokas, Shukun
dc.type.documentDoktoravhandlingen_US


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