%0 Journal Article
%T Clustering-based algorithm for data sensitive attributes anonymous protection<br>基于聚类的数据敏感属性匿名保护算法*
%A LI Shan-shan
%A ZHU Yu-quan
%A CHEN Geng
%A <br>李珊珊
%A 朱玉全
%A 陈耿
%J 计算机应用研究
%D 2012
%I 
%X In order to prevent the disclosure of data sensitive attributes, it requires preserving the anonymity of data sensitive attributes. The current algorithm that has proposed to meet l-diversity is mostly based on the hierarchy, which can lead to unnecessary information loss. For this reason, this paper proposed a clustering-based algorithm for data sensitive attributes anonymous protection, it adopted an improved distance measure method which was from achieving k-anonymity by clustering in attribute hierarchical structures and combined clustering together, the algorithm in accordance with the requirements of l-diversity model clustering of data sets. Experimental results show that the algorithm can not only protect anonymity of sensitive attri-butes in data set, but also reduce the extent of information losses.
%K sensitive attribute
%K l-diversity
%K clustering
%K information loss<br>敏感属性
%K l-多样性
%K 聚类
%K 信息损失
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=61833B526617F5D5DCF6743752800FED&yid=99E9153A83D4CB11&vid=771469D9D58C34FF&iid=0B39A22176CE99FB&sid=8F2250DA83AF77B8&eid=DCE57F652E4ADAFC&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=10