2025/07/24 by André Menolli, Menolli, André, Luíz Fernando Nunes +3
Social Sciences · #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Privacy, Security, and Data Protection
paper · pdf · doi:10.48550/arxiv.2507.18360
openalex publication_date 2025/07/24 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The protection of personal data has become a central topic in software development, especially with the implementation of the General Data Protection Law (LGPD) in Brazil and the General Data Protection Regulation (GDPR) in the European Union. With the enforcement of these laws, certain software quality criteria have become mandatory, such as data anonymization, which is one of the main aspects addressed by these regulations. The aim of this article is to analyze data anonymization techniques and assess their effectiveness in ensuring compliance with legal requirements and the utility of the data for its intended purpose. Techniques such as aggregation, generalization, perturbation, and k-anonymity were investigated and applied to datasets containing personal and sensitive data. The analysis revealed significant variations in the effectiveness of each method, highlighting the need to balance privacy and data utility.