Advancements in information and communication technologies (ICTs), e.g. smartphones, wearables, and smart cars, enable the collection and processing of data containing sensitive information about consumers. However, while the collection, processing, and sharing of data realizes economic potentials, it also imposes privacy requirements. Thus, we envision the development of a privacy-enhancing tool based on de-identification methods to meet privacy requirements while simultaneously enabling data processing. In this research in progress paper, we present two initial contributions towards this goal consisting of an overview of de-identification methods based on a structured literature review, and a description of the use cases to evaluate the resulting tool.
Bondel, Gloria; Garrido, Gonzalo Munilla; Baumer, Kevin; and Matthes, Florian, "Towards a Privacy-Enhancing Tool Based on De- Identification Methods" (2020). PACIS 2020 Proceedings. 157.
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