| 多方数据共享环境下匿名化数据的安全性量化方法(英文) |
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| 引用本文： | 陈晓云,苏玉洁,唐晓晟,黄小红,马严.多方数据共享环境下匿名化数据的安全性量化方法(英文)[J].中国通信学报,2013,10(5):120-127. |
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| 作者姓名： | 陈晓云 苏玉洁 唐晓晟 黄小红 马严 |
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| 作者单位： | Institute of Network Technology, Beijing University of Posts and Telecommunications;Wireless Technology Innovation Institute, Beijing University of Posts and Telecommunications |
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| 基金项目： | 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 |
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| 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.
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| 关 键 词： | privacy network data anonymization multiparty network data sharing |
| 收稿时间： | 2012-09-21; |
On Measuring the Privacy of Anonymized Data in Multiparty Network Data Sharing |
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| CHEN Xiaoyun,SU Yujie,TANG Xiaosheng,HUANG Xiaohong,MA Yan.On Measuring the Privacy of Anonymized Data in Multiparty Network Data Sharing[J].China communications magazine,2013,10(5):120-127. |
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| Authors: | CHEN Xiaoyun SU Yujie TANG Xiaosheng HUANG Xiaohong MA Yan |
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| Affiliation: | Institute of Network Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China
Wireless Technology Innovation Institute, Beijing University of Posts and Telecommunications, Beijing 100876, China |
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| Abstract: | 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. |
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| Keywords: | privacy network data anonymization multiparty network data sharing |
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