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Learning from the Dark Side About How (not) to Engineer Privacy: Analysis of Dark Patterns Taxonomies from an ISO 29100 Perspective
VALOGGIA, Philippe; SERGEEVA, Anastasia; ROSSI, Arianna et al.
2024In Proceedings of the 10th International Conference on Information Systems Security and Privacy
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Keywords :
Privacy Principles; Dark Patterns; Privacy Engineering; ISO/IEC 29100
Abstract :
[en] The privacy engineering literature proposes requirements for the design of technologies but gives little guidance on how to correctly fulfil them in practice. On the other hand, a growing number of taxonomies document examples of how to circumvent privacy requirements via ”dark patterns,” i.e., manipulative privacy-invasive interface designs. To improve the actionability of the knowledge about dark patterns for the privacy engineering community, we matched a selection of existing dark patterns classifications with the ISO/IEC 29100:2011 standard on Privacy Principles by performing an iterative expert analysis, which resulted in clusters of dark patterns that potentially violate the ISO privacy engineering requirements. Our results can be used to develop practical guidelines for the implementation of technology designs that comply with the ISO Privacy Principles.
Disciplines :
Computer science
Author, co-author :
VALOGGIA, Philippe;  ITIS, Luxembourg Institute of Science and Technology, Esch-sur-Alzette, Luxembourg
SERGEEVA, Anastasia  ;  University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > Department of Behavioural and Cognitive Sciences (DBCS) > Lifespan Development, Family and Culture
ROSSI, Arianna ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust > IRiSC > Team Gabriele LENZINI ; LIDER Lab, Sant’Anna School of Advanced Studies, Pisa, Italy
BOTES, Wilhelmina Maria ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust > IRiSC > Team Gabriele LENZINI ; University of KwaZulu Natal, South Africa
External co-authors :
yes
Language :
English
Title :
Learning from the Dark Side About How (not) to Engineer Privacy: Analysis of Dark Patterns Taxonomies from an ISO 29100 Perspective
Publication date :
2024
Event name :
International Conference on Information Systems Security and Privacy (ICISSP 2024)
Event place :
Rome, Italy
Event date :
26 - 28 Februaty 2024
Audience :
International
Journal title :
Proceedings of the 10th International Conference on Information Systems Security and Privacy
ISSN :
2184-4356
Publisher :
SCITEPRESS - Science and Technology Publications
Peer reviewed :
Peer reviewed
Focus Area :
Computational Sciences
FnR Project :
FNR14717072 - Deceptive Patterns Online, 2020 (01/06/2021-31/05/2024) - Gabriele Lenzini
Funders :
FNR - Fonds National de la Recherche
Available on ORBilu :
since 18 March 2024

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