Privacy-Preserving Data Publishing: A Survey of Recent Developments
Privacy-Preserving Data Publishing: A Survey of Recent Developments
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DOI：
10.1145/1749603.1749605
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发表时间：
2010-06-01
影响因子：
16.6
通讯作者：
Yu, Philip S.
中科院分区：
文献类型：
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作者：
Fung, Benjamin C. M.;Wang, Ke;Yu, Philip S.
政府、公司和个人收集的数字信息为基于知识和信息的决策创造了巨大的机会。在互惠互利或要求公布某些数据的法规的推动下，各方之间存在着交换和公布数据的需求。然而，原始形式的数据通常包含有关个人的敏感信息，发布此类数据将侵犯个人隐私。目前在数据发布方面的做法主要取决于关于可以发布哪些类型的数据的政策和指导方针，以及关于使用已发布数据的协议。仅此方法可能会导致数据过度扭曲或保护不足。隐私保护数据发布(PPDP)提供了在发布有用信息的同时保护数据隐私的方法和工具。最近，PPDP在研究界受到了相当大的关注，并针对不同的数据发布场景提出了许多方法。在本次调查中，我们将系统地总结和评价PPDP的不同方法，研究实际数据发布中的挑战，阐明PPDP与其他相关问题的区别和要求，并提出未来的研究方向。
The collection of digital information by governments, corporations, and individuals has created tremendous opportunities for knowledge- and information-based decision making. Driven by mutual benefits, or by regulations that require certain data to be published, there is a demand for the exchange and publication of data among various parties. Data in its original form, however, typically contains sensitive information about individuals, and publishing such data will violate individual privacy. The current practice in data publishing relies mainly on policies and guidelines as to what types of data can be published and on agreements on the use of published data. This approach alone may lead to excessive data distortion or insufficient protection. Privacy-preserving data publishing (PPDP) provides methods and tools for publishing useful information while preserving data privacy. Recently, PPDP has received considerable attention in research communities, and many approaches have been proposed for different data publishing scenarios. In this survey, we will systematically summarize and evaluate different approaches to PPDP, study the challenges in practical data publishing, clarify the differences and requirements that distinguish PPDP from other related problems, and propose future research directions.