%0 Journal Article
%T Identity-Reserved Anonymity in Privacy Preserving Data Publishing<br>隐私保护数据发布中身份保持的匿名方法
%A TONG Yun-Hai
%A TAO You-Dong
%A TANG Shi-Wei
%A YANG Dong-Qing
%A <br>童云海
%A 陶有东
%A 唐世渭
%A 杨冬青
%J 软件学报
%D 2010
%I 
%X In the research of privacy preserving data publishing, the present method always removes the individual identification attributes and then anonymizes the quasi-identifier attributes. This paper analyzes the situation of multiple records one individual and proposes the principle of identity-reserved anonymity. This method reserves more information while maintaining the individual privacy. The generalization and loss-join approaches are developed to meet this requirement. The algorithms are evaluated in an experimental scenario, reserving more information and demonstrating practical applicability of the approaches.
%K privacy preservation
%K data publishing
%K anonymity
%K identity-reserved
%K lossy join
%K generalization<br>隐私保护
%K 数据发布
%K 匿名
%K 身份保持
%K 有损连接
%K 概化
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7735F413D429542E610B3D6AC0D5EC59&aid=2D81A29B74A0E7790A4936AED8309CB3&yid=140ECF96957D60B2&vid=659D3B06EBF534A7&iid=E158A972A605785F&sid=E3691231514F8E11&eid=DBEE434FCBFED297&journal_id=1000-9825&journal_name=软件学报&referenced_num=1&reference_num=13