@inproceedings{e3fbe8f8f0fa498192e1656020406b3f,
title = "A privacy reinforcement approach against de-identified dataset",
abstract = "Protection of individual privacy has been a key issue for the corresponding data dissemination. Nowadays powerful search utilities increase the re-identification risk by easier information collection as well as validation than before. Despite there usually performs certain de-identified process, attackers may recognize someone from released dataset with which attacker-owned information is matched. In this paper, we propose an approach to mitigate the identity disclosure problem by generating plurals in a given dataset. The approach leverages decision tree to help selection of quasi-identifier and several masking techniques can be employed for privacy reinforcement. In addition to different privacy metrics applicability, the approach can achieve better trade-off between data integrity and privacy protection through flexible data masking.",
keywords = "Privacy, data mask, microdata protection, quasi-identifier",
author = "Lan, {Ci Wei} and Chen, {Yi Hui} and Tyrone Grandison and Huang, {Angus F.M.} and Chung, {Jen Yao} and Tseng, {Li Feng}",
year = "2011",
doi = "10.1109/ICEBE.2011.25",
language = "英语",
isbn = "9780769545189",
series = "Proceedings - 2011 8th IEEE International Conference on e-Business Engineering, ICEBE 2011",
pages = "370--375",
booktitle = "Proceedings - 2011 8th IEEE International Conference on e-Business Engineering, ICEBE 2011",
note = "2011 8th IEEE International Conference on e-Business Engineering, ICEBE 2011 ; Conference date: 19-10-2011 Through 21-10-2011",
}