A Comparative Study of Data Anonymization Techniques
In today's digital era, it is a very common practice for organizations to collect data from individual users. The collected data is then stored in multiple databases which contain personally identifiable information (PII). This may lead to a major source of privacy risk for the database. Variou...
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my.uniten.dspace-130312020-07-06T07:02:56Z A Comparative Study of Data Anonymization Techniques Murthy, S. Abu Bakar, A. Abdul Rahim, F. Ramli, R. In today's digital era, it is a very common practice for organizations to collect data from individual users. The collected data is then stored in multiple databases which contain personally identifiable information (PII). This may lead to a major source of privacy risk for the database. Various privacy preservation techniques have been proposed such as perturbation, anonymization and cryptographic. In this study, five anonymization techniques are compared using the same dataset. In addition to that, this study reviews the strengths and weaknesses of the different technique. In the evaluation of efficiency, suppression is found as the most efficient while swapping is in the last place. It is also revealed that swapping is the most resource-consuming technique while suppressing being less resource consuming. © 2019 IEEE. 2020-02-03T03:29:55Z 2020-02-03T03:29:55Z 2019 Conference Paper 10.1109/BigDataSecurity-HPSC-IDS.2019.00063 en |
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In today's digital era, it is a very common practice for organizations to collect data from individual users. The collected data is then stored in multiple databases which contain personally identifiable information (PII). This may lead to a major source of privacy risk for the database. Various privacy preservation techniques have been proposed such as perturbation, anonymization and cryptographic. In this study, five anonymization techniques are compared using the same dataset. In addition to that, this study reviews the strengths and weaknesses of the different technique. In the evaluation of efficiency, suppression is found as the most efficient while swapping is in the last place. It is also revealed that swapping is the most resource-consuming technique while suppressing being less resource consuming. © 2019 IEEE. |
| format |
Conference Paper |
| author |
Murthy, S. Abu Bakar, A. Abdul Rahim, F. Ramli, R. |
| spellingShingle |
Murthy, S. Abu Bakar, A. Abdul Rahim, F. Ramli, R. A Comparative Study of Data Anonymization Techniques |
| author_facet |
Murthy, S. Abu Bakar, A. Abdul Rahim, F. Ramli, R. |
| author_sort |
Murthy, S. |
| title |
A Comparative Study of Data Anonymization Techniques |
| title_short |
A Comparative Study of Data Anonymization Techniques |
| title_full |
A Comparative Study of Data Anonymization Techniques |
| title_fullStr |
A Comparative Study of Data Anonymization Techniques |
| title_full_unstemmed |
A Comparative Study of Data Anonymization Techniques |
| title_sort |
comparative study of data anonymization techniques |
| publishDate |
2020 |
| _version_ |
1672614200305778688 |
| score |
13.211869 |