How Anonymous Are Your Anonymized Data? The AnyMApp Case Study

• Type: Article in International Conference Proceedings Book
• Date: 2024

Authors

ferreira, a (Author) FMUP; Bischoff, F (Author) FMUP; Almeida, R (Author) FMUP; Nogueira Silva, L (Author) FMUP; Ricardo Cruz Correia (Author) FMUP; Muchagata, J (Author) Other

Conference proceedings International

Title: Communications in Computer and Information Science

Pages: 456-463

25th International Conference on Human-Computer Interaction, HCII 2023

Copenhagen, 23 July 2023 through 28 July 2023

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Scopus - 0 Citations

Other information

Authenticus ID: P-00Z-GV4

DOI: 10.1007/978-3-031-49215-0_54

Abstract (EN): Privacy is a Fundamental Human Right and data anonymization is an essential process that aims to render data unidentifiable, therefore, private. The aim of this work is to test the anonymity of the first data collected via AnyMApp, a platform to anonymously perform online usability tests. Due to time and resource constraints, the authors opted to identify open-source free tools, which were evaluated recently for their usability and functionalities. Even being a highly ranked anonymization tool (ARX), the use of this tool in our data setting was not straightforward and required guidance from tutorials. In the end, it was not possible to run any of the anonymization models available in ARX in our dataset because there were no quasi-identifier attributes within the collected data. There were sensitive data collected though, with medical diagnosis information, but not able to cause privacy concerns when added with all the other non-identifiable and non-sensitive attributes. Despite our results for this use-case, we will keep verifying/anonymizing collected data from AnyMApp because we will have different use-cases and health-related data that can be more complex and comprise quasi-identifiers and sensitive attributes that we nee to guarantee that are anonymized. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 7