Towards a privacy-enhancing tool based on de-identification methods

Gloria Bondel, Kevin Baumer, Gonzalo Munilla Garrido, Florian Matthes

Research output: Contribution to conferencePaperpeer-review

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 languageEnglish
StatePublished - 2020
Event24th Pacific Asia Conference on Information Systems: Information Systems (IS) for the Future, PACIS 2020 - Dubai, United Arab Emirates
Duration: 20 Jun 202024 Jun 2020

Conference

Conference24th Pacific Asia Conference on Information Systems: Information Systems (IS) for the Future, PACIS 2020
Country/TerritoryUnited Arab Emirates
CityDubai
Period20/06/2024/06/20

Keywords

  • De-identification
  • Privacy
  • Privacy-enhancing tool

Fingerprint

Dive into the research topics of 'Towards a privacy-enhancing tool based on de-identification methods'. Together they form a unique fingerprint.

Cite this