Anonimização de Dados de Trajetórias em Grupos para Disponibilização à Pesquisa Universitária

• Fernanda O. Gomes UFSC
• Julia Baldissera UFSC
• Bruno M. Agostinho UFSC
• Douglas Simões UFSC
• Jean E. Martina UFSC

DOI: https://doi.org/10.5753/sbseg.2018.4244

Abstract

The use of mobile devices connected to the campus Wi-Fi network allows the capture of student trajectory data. The union of these data with the information of the students present on the systems of the universities makes possible the creation of semantic trajectories with personal quasi-identifiers. However, such data can put people’s privacy at risk. For this reason, we demonstrate a new trajectory anonymization technique, called Mix β-k-anonymity. This technique provides a set of possible trajectories of a group of people with similar quasi-identifiers. The goal is to apply this method to solve the data privacy problem and make the publication of these datas possible. This work shows that the academic community can have access to data with privacy and quality for operational mobility research on campus.

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