Abstract
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.
Original language | English |
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State | Published - 2020 |
Event | 24th Pacific Asia Conference on Information Systems: Information Systems (IS) for the Future, PACIS 2020 - Dubai, United Arab Emirates Duration: 20 Jun 2020 → 24 Jun 2020 |
Conference
Conference | 24th Pacific Asia Conference on Information Systems: Information Systems (IS) for the Future, PACIS 2020 |
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Country/Territory | United Arab Emirates |
City | Dubai |
Period | 20/06/20 → 24/06/20 |
Keywords
- De-identification
- Privacy
- Privacy-enhancing tool