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篇名 |
A Model of Privacy Preserving in Dynamic Set-valued Data Re-publication
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並列篇名 | A Model of Privacy Preserving in Dynamic Set-valued Data Re-publication |
作者 | Dan Wang、Yi Wu、Wenbing Zhao、Lihua Fu |
英文摘要 | A model of privacy preserving in dynamic set-valued data re-publication is studied in this paper. Dynamic data in most practical applications may be re-published after updating, and the sensitive information of which may confront the risk of being exposed by adversary using historical publish results. A novel k-preserving model is proposed to protect data privacy from being exposed by continuing using transactional k-anonymity and maintaining the diversity and continuity of sensitive elements in the dataset during re-publication. An anonymous algorithm is also proposed to reduce information loss of the anonymous result by integrating local generalization with suppression technique. Realworld datasets are used in the experiment, the results and evaluations demonstrate that the approach in this paper can prevent privacy disclosure effectively and acquire publishing result with better availability. |
起訖頁 | 147-156 |
關鍵詞 | Privacy preserving、Transactional k-anonymity、Set-valued data、Dynamic dataset、Re-publication |
刊名 | 網際網路技術學刊 |
期數 | 201901 (20:1期) |
出版單位 | 台灣學術網路管理委員會 |
DOI |
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