Supporting Privacy by Design using Privacy Process Patterns

Vasiliki Diamantopoulou; Christos Kalloniatis; Stefanos Gritzalis; Haralambos Mouratidis

doi:10.1007/978-3-319-58469-0_33

Supporting Privacy by Design using Privacy Process Patterns

Vasiliki Diamantopoulou, Christos Kalloniatis, Stefanos Gritzalis, Haralambos Mouratidis

University of Brighton

Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review

Abstract

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.

Original language	English
Title of host publication	IFIP SEC 2017 32nd IFIP International Information Security Conference
Place of Publication	Rome, Italy
Publisher	Springer LNCS
Pages	491-505
Number of pages	15
ISBN (Print)	9783319584683
DOIs	https://doi.org/10.1007/978-3-319-58469-0_33
Publication status	Published - 4 May 2017
Event	IFIP SEC 2017 32nd IFIP International Information Security Conference - Rome, Italy, 29-31 May, 2017 Duration: 4 May 2017 → …

Publication series

Name	IFIP Advances in Information and Communication Technology

Conference

Conference	IFIP SEC 2017 32nd IFIP International Information Security Conference
Period	4/05/17 → …

Bibliographical note

The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-58469-0_33

Keywords

Privacy Process Patterns
Requirements Engineering
Information Security Modelling

Access to Document

10.1007/978-3-319-58469-0_33Licence: Unspecified

typeinst.pdfAccepted author manuscript, 654 KBLicence: Unspecified

Cite this

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title = "Supporting Privacy by Design using Privacy Process Patterns",

abstract = "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.",

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author = "Vasiliki Diamantopoulou and Christos Kalloniatis and Stefanos Gritzalis and Haralambos Mouratidis",

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Diamantopoulou, V, Kalloniatis, C, Gritzalis, S & Mouratidis, H 2017, Supporting Privacy by Design using Privacy Process Patterns. in IFIP SEC 2017 32nd IFIP International Information Security Conference. IFIP Advances in Information and Communication Technology, Springer LNCS, Rome, Italy, pp. 491-505, IFIP SEC 2017 32nd IFIP International Information Security Conference, 4/05/17. https://doi.org/10.1007/978-3-319-58469-0_33

Supporting Privacy by Design using Privacy Process Patterns. / Diamantopoulou, Vasiliki; Kalloniatis, Christos; Gritzalis, Stefanos et al.
IFIP SEC 2017 32nd IFIP International Information Security Conference. Rome, Italy: Springer LNCS, 2017. p. 491-505 (IFIP Advances in Information and Communication Technology).

Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review

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AU - Kalloniatis, Christos

AU - Gritzalis, Stefanos

AU - Mouratidis, Haralambos

N1 - The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-58469-0_33

PY - 2017/5/4

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N2 - 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.

AB - 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.

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Supporting Privacy by Design using Privacy Process Patterns

Abstract

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Bibliographical note

Keywords

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