%0 Journal Article
%T Privacy-preserving model on data with conditional functional dependency<br>基于条件函数依赖的隐私保护模型
%A CHEN Wei-he
%A CHEN Lin
%A <br>陈伟鹤
%A 陈　霖
%J 计算机应用研究
%D 2012
%I 
%X There exists privacy threat in the publishing data that contains CFDs. This paper showed that the correlations among attributes by CFDs could bring potential vulnerability to privacy. This paper formalized the CFD-based privacy attack, proposed the privacy model l-deduction and developed an algorithm that achieved l-deduction. Beyond a theoretical treatment of the problem, the experiments also demonstrate the effectiveness of the proposed technique.
%K privacy-preserving
%K data publishing
%K conditional functional dependency（CFDs）
%K l-deduction
%K information loss<br>隐私保护
%K 数据发布
%K 条件函数依赖
%K l-deduction
%K 信息损失
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=38AAB79AD8A56B536F2E1087801F8B9E&yid=99E9153A83D4CB11&vid=771469D9D58C34FF&iid=F3090AE9B60B7ED1&sid=98BA34EC4580CE68&eid=CAD9B17A8354939B&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=14