摘要
随着信息技术的发展,个人隐私泄露成为日益严重的问题,因此迫切需要研究防止数据发布中个人隐私的泄露。为此,许多研究者提出不同的方法用以实现隐私保护的数据发布。为总结前人工作,介绍了隐私保护数据发布技术的研究意义和发展历程,阐述了本领域研究过程中的背景攻击模型和隐私模型,深入分析了用已有的概化/隐匿方法和聚类方法实现匿名数据发布技术,总结了匿名质量有关的信息度量标准,同时探讨了数据更新引起的增量数据发布方法和高维数据、移动数据的发布,最后归纳了目前研究中的问题并展望了本领域进一步的研究趋势。
With the development of information technology,privacy leakage becomes a serious problem,therefore,it is in urgent need to prevent personal privacy disclosure in data publishing.For this reason,many researchers have proposed different ways to achieve data publishing of privacy protection.To sum up the previous work,we introduced research significance of privacy protection data release technology and its development process,described background attack model and privacy model during the study in this field,deeply analysed existing generalization / suppression method and clustering method to achieve anonymity data release,summarized information metrics of related anonymous dada quality,also discussed incremental data release method caused by data update as well as high-dimensional data and mobile data release,finally,looked further research trends in this field.
出处
《计算机科学》
CSCD
北大核心
2011年第9期11-17,共7页
Computer Science
基金
国家自然科学基金(61073043
61073041
60873037)
黑龙江省自然科学基金(F200901)资助
关键词
隐私保护
数据发布
K-匿名
概化
信息度量
Privacy preserving
Data publishing
k-anonymity
Generalization
Information metrics
