On Measuring the Privacy of Anonymized Data in Multiparty Network Data Sharing  

多方数据共享环境下匿名化数据的安全性量化方法(英文)

作　　者：陈晓云 苏玉洁 唐晓晟 黄小红 马严 

机构地区：[1]Institute of Network Technology, Beijing University of Posts and Telecommunications [2]Wireless Technology Innovation Institute, Beijing University of Posts and Telecommunications

出　　处：《China Communications》2013年第5期120-127,共8页中国通信（英文版）

基　　金：supported by the National Key Basic Research Program of China (973 Program) under Grant No. 2009CB320505;the Fundamental Research Funds for the Central Universities under Grant No. 2011RC0508;the National Natural Science Foundation of China under Grant No. 61003282;China Next Generation Internet Project "Research and Trial on Evolving Next Generation Network Intelligence Capability Enhancement";the National Science and Technology Major Project "Research about Architecture of Mobile Internet" under Grant No. 2011ZX03002-001-01

摘　　要：This paper aims to find a practical way of quantitatively representing the privacy of network data. A method of quantifying the privacy of network data anonymization based on similarity distance and entropy in the scenario involving multiparty network data sharing with Trusted Third Party (TTP) is proposed. Simulations are then conducted using network data from different sources, and show that the measurement indicators defined in this paper can adequately quantify the privacy of the network. In particular, it can indicate the effect of the auxiliary information of the adversary on privacy.This paper aims to find a practical way of quantitatively representing the privacy of network data. A method of quantifying the privacy of network data anonymization based on similarity distance and entropy in the scenario involving multiparty network data sharing with Trusted Third Party （TTP） is proposed. Simulations are then conducted using network data from different sources, and show that the measurement indicators defined in this paper can adequately quantify the privacy of the network. In particular, it can indicate the effect of the auxiliary information of the adversary on privacy.

关 键 词：privacy  network data anonymization  multiparty network data sharing 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]