A Taxonomy of Syntactic Privacy Notions for Continuous Data Publishing
Continuous data publishing aims to anonymise the next publication of changing microdata while preserving privacy. The microdata can change between publications via additions, deletions, insertions, and updates. There are numerous proposals for different database types, adversaries, attacks, and noti...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10443407/ |
| _version_ | 1797243265102118912 |
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| author | Adrian Tobar Nicolau Javier Parra-Arnau Jordi Forne |
| author_facet | Adrian Tobar Nicolau Javier Parra-Arnau Jordi Forne |
| author_sort | Adrian Tobar Nicolau |
| collection | DOAJ |
| description | Continuous data publishing aims to anonymise the next publication of changing microdata while preserving privacy. The microdata can change between publications via additions, deletions, insertions, and updates. There are numerous proposals for different database types, adversaries, attacks, and notions. However, many anonymization algorithms include notions of privacy and adversarial models that are specific to the context, with their own terminology and notation. Unfortunately, these proposals are difficult to generalize or translate them to other contexts complicating their understanding and comparison. To address these issues, we propose a taxonomy of anonymization technologies, compare existing solutions, and develop a unifying framework that not only harmonizes concepts and terminology but also notation and nomenclature. We analyze the current state of the art and recent advances in the literature. The analysis enables us to understand the significance and appropriateness of the various proposals in achieving privacy. |
| first_indexed | 2024-04-24T18:52:22Z |
| format | Article |
| id | doaj.art-0a2cc3371bdc4540a1fba97a9fdc3d13 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-24T18:52:22Z |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-0a2cc3371bdc4540a1fba97a9fdc3d132024-03-26T17:49:09ZengIEEEIEEE Access2169-35362024-01-0112384903851110.1109/ACCESS.2024.336885210443407A Taxonomy of Syntactic Privacy Notions for Continuous Data PublishingAdrian Tobar Nicolau0https://orcid.org/0000-0003-0198-2475Javier Parra-Arnau1https://orcid.org/0000-0002-1772-1088Jordi Forne2https://orcid.org/0000-0002-8401-3292Department of Network Engineering, Universitat Politècnica de Catalunya—BarcelonaTech (UPC), Barcelona, SpainDepartment of Network Engineering, Universitat Politècnica de Catalunya—BarcelonaTech (UPC), Barcelona, SpainDepartment of Network Engineering, Universitat Politècnica de Catalunya—BarcelonaTech (UPC), Barcelona, SpainContinuous data publishing aims to anonymise the next publication of changing microdata while preserving privacy. The microdata can change between publications via additions, deletions, insertions, and updates. There are numerous proposals for different database types, adversaries, attacks, and notions. However, many anonymization algorithms include notions of privacy and adversarial models that are specific to the context, with their own terminology and notation. Unfortunately, these proposals are difficult to generalize or translate them to other contexts complicating their understanding and comparison. To address these issues, we propose a taxonomy of anonymization technologies, compare existing solutions, and develop a unifying framework that not only harmonizes concepts and terminology but also notation and nomenclature. We analyze the current state of the art and recent advances in the literature. The analysis enables us to understand the significance and appropriateness of the various proposals in achieving privacy.https://ieeexplore.ieee.org/document/10443407/Data privacydynamic datasyntactic privacy |
| spellingShingle | Adrian Tobar Nicolau Javier Parra-Arnau Jordi Forne A Taxonomy of Syntactic Privacy Notions for Continuous Data Publishing IEEE Access Data privacy dynamic data syntactic privacy |
| title | A Taxonomy of Syntactic Privacy Notions for Continuous Data Publishing |
| title_full | A Taxonomy of Syntactic Privacy Notions for Continuous Data Publishing |
| title_fullStr | A Taxonomy of Syntactic Privacy Notions for Continuous Data Publishing |
| title_full_unstemmed | A Taxonomy of Syntactic Privacy Notions for Continuous Data Publishing |
| title_short | A Taxonomy of Syntactic Privacy Notions for Continuous Data Publishing |
| title_sort | taxonomy of syntactic privacy notions for continuous data publishing |
| topic | Data privacy dynamic data syntactic privacy |
| url | https://ieeexplore.ieee.org/document/10443407/ |
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