Data Re-Identification—A Case of Retrieving Masked Data from Electronic Toll Collection
With the growth of big data and open data in recent years, the importance of data anonymization is increasing. Original data need to be anonymized to prevent personal identification from being revealed before being released to the public. There is a growing variety of de-identification methods which...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-04-01
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| Series: | Symmetry |
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| Online Access: | https://www.mdpi.com/2073-8994/11/4/550 |
| _version_ | 1798026789070569472 |
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| author | Hsieh-Hong Huang Jian-Wei Lin Chia-Hsuan Lin |
| author_facet | Hsieh-Hong Huang Jian-Wei Lin Chia-Hsuan Lin |
| author_sort | Hsieh-Hong Huang |
| collection | DOAJ |
| description | With the growth of big data and open data in recent years, the importance of data anonymization is increasing. Original data need to be anonymized to prevent personal identification from being revealed before being released to the public. There is a growing variety of de-identification methods which have been proposed to reduce the privacy issues, however, there is still much to be improved. The purpose of this study is to demonstrate the possibilities of re-identification from masked data, and to compare the pros and cons of different de-identification methods. A set of electronic toll collection data from Taiwan was used and we successfully re-identified vehicles with specific patterns. Four de-identification methods were performed and finally we compared the strengths and weaknesses of these methods and evaluated their appropriateness. |
| first_indexed | 2024-04-11T18:40:59Z |
| format | Article |
| id | doaj.art-a90afeb157aa488d91f7782486d81c02 |
| institution | Directory Open Access Journal |
| issn | 2073-8994 |
| language | English |
| last_indexed | 2024-04-11T18:40:59Z |
| publishDate | 2019-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Symmetry |
| spelling | doaj.art-a90afeb157aa488d91f7782486d81c022022-12-22T04:08:58ZengMDPI AGSymmetry2073-89942019-04-0111455010.3390/sym11040550sym11040550Data Re-Identification—A Case of Retrieving Masked Data from Electronic Toll CollectionHsieh-Hong Huang0Jian-Wei Lin1Chia-Hsuan Lin2Department of Information Science and Management Systems, National Taitung University, Taitung 95092, TaiwanDepartment of International Business, Chien Hsin University of Science and Technology, Taoyuan 32097, TaiwanDepartment of Information Science and Management Systems, National Taitung University, Taitung 95092, TaiwanWith the growth of big data and open data in recent years, the importance of data anonymization is increasing. Original data need to be anonymized to prevent personal identification from being revealed before being released to the public. There is a growing variety of de-identification methods which have been proposed to reduce the privacy issues, however, there is still much to be improved. The purpose of this study is to demonstrate the possibilities of re-identification from masked data, and to compare the pros and cons of different de-identification methods. A set of electronic toll collection data from Taiwan was used and we successfully re-identified vehicles with specific patterns. Four de-identification methods were performed and finally we compared the strengths and weaknesses of these methods and evaluated their appropriateness.https://www.mdpi.com/2073-8994/11/4/550data anonymityopen datade-identificationre-identificationelectronic toll collection |
| spellingShingle | Hsieh-Hong Huang Jian-Wei Lin Chia-Hsuan Lin Data Re-Identification—A Case of Retrieving Masked Data from Electronic Toll Collection Symmetry data anonymity open data de-identification re-identification electronic toll collection |
| title | Data Re-Identification—A Case of Retrieving Masked Data from Electronic Toll Collection |
| title_full | Data Re-Identification—A Case of Retrieving Masked Data from Electronic Toll Collection |
| title_fullStr | Data Re-Identification—A Case of Retrieving Masked Data from Electronic Toll Collection |
| title_full_unstemmed | Data Re-Identification—A Case of Retrieving Masked Data from Electronic Toll Collection |
| title_short | Data Re-Identification—A Case of Retrieving Masked Data from Electronic Toll Collection |
| title_sort | data re identification a case of retrieving masked data from electronic toll collection |
| topic | data anonymity open data de-identification re-identification electronic toll collection |
| url | https://www.mdpi.com/2073-8994/11/4/550 |
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