Data Protection and Consenting Communication Mechanisms (DPCCMs) enable users to express their privacy decisions and manage their online consent. Thus, they can become a crucial means of protecting individuals' online privacy and agency, thereby replacing the current problematic practices such as 'consent dialogues'. Based on an in-depth analysis of different DPCCMs, we propose an interdisciplinary set of factors that can be used for a comparison of such mechanisms. Moreover, we use the results from a qualitative expert study to identify some of the main multidisciplinary challenges that DPCCMs should address to become widely adopted data privacy mechanisms. We leverage both the factors and the challenges to compare two current open specifications, i.e. the Advanced Data Protection Control (ADPC) and the Global Privacy Control (GPC), and discuss future work.
|Title of host publication||Proceedings - 7th IEEE European Symposium on Security and Privacy Workshops, Euro S and PW 2022|
|Number of pages||9|
|Publication status||Published - 2022|
|Event||2022 International Workshop on Privacy Engineering - , Italy|
Duration: 6 Jun 2022 → …
|Name||Proceedings - 7th IEEE European Symposium on Security and Privacy Workshops, Euro S and PW 2022|
|Workshop||2022 International Workshop on Privacy Engineering|
|Period||6/06/22 → …|
Bibliographical noteFunding Information:
This paper has been partially funded by the Internet Foundation Austria (IPA) within the netidee call (RESPECTeD-IoT Grant#5937). Cristiana Santos is funded by RENFORCE. Harshvardhan J. Pandit has been funded by the Irish Research Council Government of Ireland Postdoctoral Fellowship Grant#GOIPD/2020/790. The ADAPT SFI Centre for Digital Media Technology is funded by Science Foundation Ireland through the SFI Research Centres Programme and is co-funded under the European Regional Development Fund (ERDF) through Grant#13/RC/2106 P2. For the purpose of Open Access the author has applied a CC BY public copyright licence to any Author Accepted Manuscript version arising from this submission. Arianna Rossi and Wilhelmina Maria Botees have been partially supported by the Luxembourg National Research Fund (FNR) – IS/14717072 “Deceptive Patterns Online (Decepticon)”.
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