Supporting the Design of Privacy-Aware Business Processes via Privacy Process Patterns

Vasiliki Diamantopoulou, Nikolaos Argyropoulos, Christos Kalloniatis, Stefanos Gritzalis

Research output: Chapter in Book/Conference proceeding with ISSN or ISBNConference contribution with ISSN or ISBN

Abstract

Privacy is an increasingly important concern for modern software systems which handle personal and sensitive user information. Privacy by design has been established in order to highlight the path to be followed during a system’s design phase ensuring the appropriate level of privacy for the information it handles. Nonetheless, transitioning between privacy concerns identified early during the system’s design phase, and privacy implementing technologies to satisfy such concerns at the later development stages, remains a challenge. In order to overcome this issue, mainly caused by the lack of privacy-related expertise of software systems engineers, this work proposes a series of privacy process patterns. The proposed patterns encapsulate expert knowledge and provide predefined solutions for the satisfaction of different types of privacy concerns. The patterns presented in this work are used as a component of an existing privacy-aware system design methodology, through which they are applied to a real life system.
Original languageEnglish
Title of host publicationIEEE RCIS 2017 11th International Conference on Research Challenges in Information Science
Place of PublicationBrighton, UK
PublisherIEEE Press
Pages187-198
Number of pages12
ISBN (Electronic)9781509054763
ISBN (Print)9781509054770
DOIs
Publication statusPublished - 10 May 2017
EventIEEE RCIS 2017 11th International Conference on Research Challenges in Information Science - Brighton, UK, 10-12 May 2017
Duration: 10 May 2017 → …

Conference

ConferenceIEEE RCIS 2017 11th International Conference on Research Challenges in Information Science
Period10/05/17 → …

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Systems analysis
Industry
Engineers

Bibliographical note

© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Cite this

Diamantopoulou, V., Argyropoulos, N., Kalloniatis, C., & Gritzalis, S. (2017). Supporting the Design of Privacy-Aware Business Processes via Privacy Process Patterns. In IEEE RCIS 2017 11th International Conference on Research Challenges in Information Science (pp. 187-198). Brighton, UK: IEEE Press. https://doi.org/10.1109/RCIS.2017.7956536
Diamantopoulou, Vasiliki ; Argyropoulos, Nikolaos ; Kalloniatis, Christos ; Gritzalis, Stefanos. / Supporting the Design of Privacy-Aware Business Processes via Privacy Process Patterns. IEEE RCIS 2017 11th International Conference on Research Challenges in Information Science. Brighton, UK : IEEE Press, 2017. pp. 187-198
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Diamantopoulou, V, Argyropoulos, N, Kalloniatis, C & Gritzalis, S 2017, Supporting the Design of Privacy-Aware Business Processes via Privacy Process Patterns. in IEEE RCIS 2017 11th International Conference on Research Challenges in Information Science. IEEE Press, Brighton, UK, pp. 187-198, IEEE RCIS 2017 11th International Conference on Research Challenges in Information Science, 10/05/17. https://doi.org/10.1109/RCIS.2017.7956536

Supporting the Design of Privacy-Aware Business Processes via Privacy Process Patterns. / Diamantopoulou, Vasiliki; Argyropoulos, Nikolaos; Kalloniatis, Christos; Gritzalis, Stefanos.

IEEE RCIS 2017 11th International Conference on Research Challenges in Information Science. Brighton, UK : IEEE Press, 2017. p. 187-198.

Research output: Chapter in Book/Conference proceeding with ISSN or ISBNConference contribution with ISSN or ISBN

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N1 - © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

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Diamantopoulou V, Argyropoulos N, Kalloniatis C, Gritzalis S. Supporting the Design of Privacy-Aware Business Processes via Privacy Process Patterns. In IEEE RCIS 2017 11th International Conference on Research Challenges in Information Science. Brighton, UK: IEEE Press. 2017. p. 187-198 https://doi.org/10.1109/RCIS.2017.7956536