Privacy transparency patterns

Siljee, Johanneke

doi:10.1145/2855321.2855374

Cited by 27 publications

(14 citation statements)

References 4 publications

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“…Ali et al [49] propose the Privacy Injection Pattern as a means to automatically integrate privacy patterns into existing or new code. Siljee [38] describes two privacy patterns focused on transparency: the personal data table pattern and the privacy policy icons pattern. In addition, Bier and Krempel [50] analyze video surveillance and smart energy systems to derive three privacy patterns: privacy proxy, data abstraction, and instant user interface for information concerning PII.…”

Section: Patternsmentioning

confidence: 99%

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A Systematic Mapping Study on Privacy by Design in Software Engineering

Morales-Trujillo

García-Mireles

Matla-Cruz

et al. 2019

CLEIej

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Protecting personal data in current software systems is a complex issue that requires legal regulations and constraints to manage personal data as well as a methodological support to develop software systems that would safeguard data privacy of their respective users. Privacy by Design (PbD) approach has been proposed to address this issue and has been applied to systems development in a variety of application domains. The aim of this work is to determine the presence of PbD and its extent in software development efforts. A systematic mapping study was conducted in order to identify relevant literature that collects PbD principles and goals in software development as well as methods and/or practices that support privacy aware software development. 53 selected papers address PbD mostly from a theoretical perspective with proposals validation based primarily on experiences or examples. The findings suggest that there is a need to develop privacy-aware methods to be integrated at all stages of software development life cycle and validate them in industrial settings.

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Section: Patternsmentioning

confidence: 99%

“…[37] [38] [39] [40] [41], the Internet of Things[42], mobile systems[43] [44], big data[15] [82] and e-commerce[45] [46]. They may also provide guidelines that can be used to include PbD in systems in the form of patterns…”

mentioning

confidence: 99%

A Systematic Mapping Study on Privacy by Design in Software Engineering

Morales-Trujillo

García-Mireles

Matla-Cruz

et al. 2019

CLEIej

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“…A first step towards transparency is to grant the right of access 14 . Siljee's [14] Personal Data Table fulfills all requirements to realize the execution of this right. The Personal Data Table should be extended by an element to depict data flows to involved processors.…”

Section: Gdprmentioning

confidence: 99%

“…In order to execute T1 (as defined in Section 5), all personal data has to be presented to the user. This data is displayed ex post like Siljee's [14] Personal Data Table. This enables answering the question: Which data collected the controller in question about me? The most challenging aspect of this task is to realize the visualization of huge amounts of diverse data.…”

Section: Data Taxonomymentioning

confidence: 99%

Designing a GDPR-Compliant and Usable Privacy Dashboard

Raschke

Küpper

Drozd

et al. 2018

IFIP Advances in Information and Communication Technology

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HAL is a multidisciplinary 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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“…Finally, in [13] the authors propose two Privacy Design Standards to facilitate the development of applications through solutions to recurrent privacy problems, focusing on trans-parency as a measure to establish broad control for users about their personal data. These standards are based on a set of factors, such as objective, user profile, usage context, problem, solution and consequences.…”

Section: Introductionmentioning

confidence: 99%

Assessing the Communicability of Human-Data Interaction Mechanisms in Transparency Enhancing Tools

Barreto

Salgado

Viterbo

2018

Annals of Computer Science and Information Systems

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The growing practice of accumulating personal data to generate predictions about users, leverages the need for mechanisms that allow people a more effective control of their data. An emerging field of studies called Human-Data Interaction (HDI), proposes the inclusion of human at the center of the data flow, providing mechanisms for citizens to interact explicitly with the collected data. Researches in HDI have discussed ways to offer Transparency Enhancing Tools (TETs), i.e., tools that support people on HDI issues related to privacy and personal data protection. Many works conducted about TETs focuses on usability issues, exploring aspects such as efficiency, user satisfaction and ease of learning. In this work, on the other hand, we aim to assess the communicability of HDI mechanisms in TETs. Hence, we applied the Semiotic Inspection Method (SIM) to investigate if and how HDI concepts are applied in two different TETs used for personal data management. We triangulated results from the study with findings from another investigation about communicability issues carried out in the same domain, but by observing and interviewing users.

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Privacy transparency patterns

Cited by 27 publications

References 4 publications

A Systematic Mapping Study on Privacy by Design in Software Engineering

A Systematic Mapping Study on Privacy by Design in Software Engineering

Designing a GDPR-Compliant and Usable Privacy Dashboard

Assessing the Communicability of Human-Data Interaction Mechanisms in Transparency Enhancing Tools

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