The Pseudonym Broker Privacy Pattern in Medical Data Collection

Hillen, Christiaan

doi:10.1109/trustcom.2015.475

Cited by 7 publications

(5 citation statements)

References 10 publications

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“…We have considered in our study 24 out of the 29 as they appeared as results of our search string. The remaining 5 papers they coded [53]- [57] are not indexed by Scopus (3), or does not contain some of the terms used in our search string (2). On the other hand, our study provides 12 papers (ID221, ID384, ID577, ID1726, ID1781, ID1804, ID1808, ID1825, ID1882, ID2126, ID2272, ID2731) related to privacy patterns, useful for the design of IS that have not been considered in this related work.…”

Section: Related Workmentioning

confidence: 99%

Reusable Elements for the Systematic Design of Privacy-Friendly Information Systems: A Mapping Study

et al. 2019

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Privacy by design is a new paradigm that promotes embedding privacy considerations throughout the development of information systems, to protect user privacy. Privacy engineering is the nascent field of research and practice that aims to realize this new paradigm systematically and efficiently, by delivering reusable elements such as methods, techniques, and tools that software and systems engineers can apply in their daily work. However, as a new field, its contributions are still scattered, and there is little information on their quantity or maturity. To bridge this gap, we have carried out a systematic mapping study to provide engineers and researchers with a snapshot of the reusable elements available for the systematic design of privacy-friendly software-based information systems. The results show that there is an emerging and growing interest in the field, being privacy patterns, the hottest research topic. However, the maturity of some of the contributions found is still low as they usually lack empirical evidence that demonstrates their benefits, which may hinder their adoption in practice. In this paper, we describe the most advanced research areas and discuss some of the gaps found, suggesting areas where researchers and funding institutions can focus their efforts.

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Section: Related Workmentioning

confidence: 99%

Reusable Elements for the Systematic Design of Privacy-Friendly Information Systems: A Mapping Study

et al. 2019

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“…Some patterns merely represent a general idea as the Pseudonymous Identity Pattern [7] whereas others focus on very special situations as e.g. the Pseudonym Broker Pattern [24].…”

Section: Discussion and Final Remarksmentioning

confidence: 99%

“…SEPARATE: In the context of the intervention study it is intended to use a distributed pseudonym table, which is stored on the therapists sides. A similar approach, the so-called Pseudoynm Broker Pattern, which also avoids the use of a central pseudonym table by separation, was proposed by Hillen [24]. ABSTRACT: In addition to data minimization also the collected data should be abstracted as much as possible by data obfuscation [2] respectively statistical disclosure control [27].…”

Section: Confidentiality Integrity Intervenabilitymentioning

confidence: 99%

mHealth Applications for Goal Management Training - Privacy Engineering in Neuropsychological Studies

Gabel

Schiering

Müller

et al. 2018

IFIP Advances in Information and Communication Technology

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HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

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“…Attribute-based Credentials also provide an Inspector Authority for identity recovery. The Pseudonym Broker Pattern was proposed by Hillen [15] and is based on a Trusted Third Party (TTP), which generates pseudonyms from the combination of a subject ID, a partner cloud ID and a time-frame. The pseudonyms are therefore relationshipbased and time-limited.…”

Section: Related Workmentioning

confidence: 99%

“…Pseudonymous Identity, Pseudonymous Messaging and few are rather complex e.g. Attributebased Credentials [6] or Pseudonym Broker Pattern proposed by Hillen [15].…”

Section: Introductionmentioning

confidence: 99%

Privacy Patterns for Pseudonymity

Gabel

Schiering

2019

Privacy and Identity Management. Fairness, Accountability, and Transparency in the Age of Big Data

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To implement the principle of Privacy by Design mentioned in the European General Data Protection Regulation one important measurement stated there is pseudonymisation. Pseudonymous data is widely used in medical applications and is investigated e.g. for vehicular adhoc networks and Smart Grid. The concepts used there address a broad range of important aspects and are therefore often specific and complex. Some privacy patterns are already addressing pseudonymity, but they are mostly abstract or rather very specific. This paper proposes privacy patterns for the development of pseudonymity concepts based on the analysis of pseudonymity solutions in use cases.

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The Pseudonym Broker Privacy Pattern in Medical Data Collection

Cited by 7 publications

References 10 publications

Reusable Elements for the Systematic Design of Privacy-Friendly Information Systems: A Mapping Study

Reusable Elements for the Systematic Design of Privacy-Friendly Information Systems: A Mapping Study

mHealth Applications for Goal Management Training - Privacy Engineering in Neuropsychological Studies

Privacy Patterns for Pseudonymity

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