Data Anonymization: An Experimental Evaluation Using Open-Source Tools
In recent years, the use of personal data in marketing, scientific and medical investigation, and forecasting future trends has really increased. This information is used by the government, companies, and individuals, and should not contain any sensitive information that allows the identification of...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-05-01
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| Series: | Future Internet |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1999-5903/14/6/167 |
| _version_ | 1797487334577405952 |
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| author | Joana Tomás Deolinda Rasteiro Jorge Bernardino |
| author_facet | Joana Tomás Deolinda Rasteiro Jorge Bernardino |
| author_sort | Joana Tomás |
| collection | DOAJ |
| description | In recent years, the use of personal data in marketing, scientific and medical investigation, and forecasting future trends has really increased. This information is used by the government, companies, and individuals, and should not contain any sensitive information that allows the identification of an individual. Therefore, data anonymization is essential nowadays. Data anonymization changes the original data to make it difficult to identify an individual. ARX Data Anonymization and Amnesia are two popular open-source tools that simplify this process. In this paper, we evaluate these tools in two ways: with the OSSpal methodology, and using a public dataset with the most recent tweets about the Pfizer and BioNTech vaccine. The assessment with the OSSpal methodology determines that ARX Data Anonymization has better results than Amnesia. In the experimental evaluation using the public dataset, it is possible to verify that Amnesia has some errors and limitations, but the anonymization process is simpler. Using ARX Data Anonymization, it is possible to upload big datasets and the tool does not show any error in the anonymization process. We concluded that ARX Data Anonymization is the one recommended to use in data anonymization. |
| first_indexed | 2024-03-09T23:46:09Z |
| format | Article |
| id | doaj.art-cd5e8e1a68bd473e975f1dd1b66c24a6 |
| institution | Directory Open Access Journal |
| issn | 1999-5903 |
| language | English |
| last_indexed | 2024-03-09T23:46:09Z |
| publishDate | 2022-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Future Internet |
| spelling | doaj.art-cd5e8e1a68bd473e975f1dd1b66c24a62023-11-23T16:43:28ZengMDPI AGFuture Internet1999-59032022-05-0114616710.3390/fi14060167Data Anonymization: An Experimental Evaluation Using Open-Source ToolsJoana Tomás0Deolinda Rasteiro1Jorge Bernardino2Institute of Engineering of Coimbra—ISEC, Polytechnic of Coimbra, Rua Pedro Nunes, 3030-199 Coimbra, PortugalInstitute of Engineering of Coimbra—ISEC, Polytechnic of Coimbra, Rua Pedro Nunes, 3030-199 Coimbra, PortugalInstitute of Engineering of Coimbra—ISEC, Polytechnic of Coimbra, Rua Pedro Nunes, 3030-199 Coimbra, PortugalIn recent years, the use of personal data in marketing, scientific and medical investigation, and forecasting future trends has really increased. This information is used by the government, companies, and individuals, and should not contain any sensitive information that allows the identification of an individual. Therefore, data anonymization is essential nowadays. Data anonymization changes the original data to make it difficult to identify an individual. ARX Data Anonymization and Amnesia are two popular open-source tools that simplify this process. In this paper, we evaluate these tools in two ways: with the OSSpal methodology, and using a public dataset with the most recent tweets about the Pfizer and BioNTech vaccine. The assessment with the OSSpal methodology determines that ARX Data Anonymization has better results than Amnesia. In the experimental evaluation using the public dataset, it is possible to verify that Amnesia has some errors and limitations, but the anonymization process is simpler. Using ARX Data Anonymization, it is possible to upload big datasets and the tool does not show any error in the anonymization process. We concluded that ARX Data Anonymization is the one recommended to use in data anonymization.https://www.mdpi.com/1999-5903/14/6/167data anonymizationOSSpal methodologyARX Data Anonymization toolAmnesia |
| spellingShingle | Joana Tomás Deolinda Rasteiro Jorge Bernardino Data Anonymization: An Experimental Evaluation Using Open-Source Tools Future Internet data anonymization OSSpal methodology ARX Data Anonymization tool Amnesia |
| title | Data Anonymization: An Experimental Evaluation Using Open-Source Tools |
| title_full | Data Anonymization: An Experimental Evaluation Using Open-Source Tools |
| title_fullStr | Data Anonymization: An Experimental Evaluation Using Open-Source Tools |
| title_full_unstemmed | Data Anonymization: An Experimental Evaluation Using Open-Source Tools |
| title_short | Data Anonymization: An Experimental Evaluation Using Open-Source Tools |
| title_sort | data anonymization an experimental evaluation using open source tools |
| topic | data anonymization OSSpal methodology ARX Data Anonymization tool Amnesia |
| url | https://www.mdpi.com/1999-5903/14/6/167 |
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