Open AccessK-Anonymity technique for privacy protection: a proof of concept study
Author(s) -
Ítalo Santos,
Emanuel Ferreira Coutinho,
Leonardo O. Moreira
Publication year - 2019
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5753/sbseg.2019.13987
Subject(s) - anonymity , computer science , k anonymity , information privacy , generalization , focus (optics) , personally identifiable information , computer security , raw data , internet privacy , set (abstract data type) , information sensitivity , space (punctuation) , mathematics , mathematical analysis , physics , optics , programming language , operating system
Privacy is a concept directly related to people's interest in maintaining personal space without the interference of others. In this paper, we focus on study the k-anonymity technique since many generalization algorithms are based on this privacy model. Due to this, we develop a proof of concept that uses the k-anonymity technique for data anonymization to anonymize data raw and generate a new le with anonymized data. We present the system architecture and detailed an experiment using the adult data set which has sensitive information, where each record corresponds to the personal information for a person. Finally, we summarize our work and discuss future works.