Privacy Quantitative Model with Multiple Decision Factors
In various computing environments and their applications, before any useful service offered, some user information which may contain privacy must be submitted. So how much privacy can the user afford to lose in order to get some service? It should be important to study effective privacy quantitative method in network environments. In this paper, we propose a novel privacy quantitative model with multiple decision factors. Our motivation is supply a privacy quantitative model, according to the result of quantification user can get the decision for their privacy disclosure. Our main contributions include followings. (1) With multiple decision factors considered, our model satisfy privacy demand well, and support privacy disclosure decision more trustfully;(2) Allow the users set their privacy preference in the privacy quantitative model, and the users can change their privacy preference conveniently;(3) Our model can be used in various computing applications to protect privacy flexibly.
privacy quantitative multiple decision factors information entropy
Feng Gao Jingsha He Shunan Ma
College of Computer Science and Technology,Beijing University of Technology Beijing, China School of Software Engineering,Beijing University of Technology Beijing, China
国际会议
厦门
英文
148-153
2010-10-29（万方平台首次上网日期，不代表论文的发表时间）