Data Anonymization: An Experimental Evaluation Using Open-Source Tools

In recent years, the use of personal data in marketing, scientific and medical investigation, forecasting future trends has really increased. This information is used by government, companies, individuals, should not contain any sensitive that allows identification an individual. Therefore, anonymization essential nowadays. Data changes original to make it difficult identify ARX Anonymization Amnesia are two popular open-source tools simplify this process. paper, we evaluate these ways: with OSSpal methodology, using a public dataset most tweets about Pfizer BioNTech vaccine. The assessment methodology determines better results than Amnesia. experimental evaluation dataset, possible verify some errors limitations, but process simpler. Using Anonymization, upload big datasets tool does show error We concluded one recommended anonymization.