Supporting Privacy by Design using Privacy Process Patterns


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Diamantopoulou, Vasiliki, Kalloniatis, Christos, Gritzalis, Stefanos and Mouratidis, Haralambos (2017) Supporting Privacy by Design using Privacy Process Patterns In: IFIP SEC 2017 32nd IFIP International Information Security Conference, Rome, Italy, 29-31 May, 2017.

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Advances in Information and Communication Technology (ICT) have had significant impact on every-day life and have allowed us to share, store and manipulate information easily and at any time. On the other hand, such situation also raises important privacy concerns. To deal with such concerns, the literature has identified the need to introduce a Privacy by Design (PbD) approach to support the elicitation and analysis of privacy requirements and their implementation through appropriate Privacy Enhancing Technologies. However, and despite all the work presented in the literature, there is still a gap between privacy design and implementation. This paper presents a set of Privacy Process Patterns that can be used to bridge that gap. To demonstrate the practical application of such patterns, we instantiate them in JavaScript Object Notation (JSON), we use them in conjunction with the Privacy Safeguard (PriS) methodology and we apply them to a real case study.

Item Type: Contribution to conference proceedings in the public domain ( Full Paper)
Additional Information: The final publication is available at Springer via
Uncontrolled Keywords: Privacy Process Patterns; Requirements Engineering; Information Security Modelling
Subjects: G000 Computing and Mathematical Sciences > G500 Information Systems
G000 Computing and Mathematical Sciences > G600 Software Engineering
DOI (a stable link to the resource): 10.1007/978-3-319-58469-0_33
Depositing User: Converis
Date Deposited: 06 Jul 2017 03:01
Last Modified: 04 May 2018 00:38

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