Privacy-Preserving Distributed Data Fusion Based on Attribute Protection

Su Xin; Fan Kuan; Shi Wenbo

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Privacy-Preserving Distributed Data Fusion Based on Attribute Protection

机译：基于属性保护的隐私保护分布式数据融合

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Privacy-preserving distributed data fusion is a pretreatment process in data mining involving security models. In this paper, we present a method of implementing multiparty data fusion, wherein redundant attributes of a same set of individuals are stored by multiple parties. In particular, the merged data does not suffer from background attacks or other reasoning attacks, and individual attributes are not leaked. To achieve this, we present three algorithms that satisfy K-anonymous and differential privacy. Experimental results on real datasets suggest that the proposed algorithm can effectively preserve information in data mining tasks.

机译：隐私保护分布式数据融合是涉及安全模型的数据挖掘中的预处理过程。在本文中，我们提出了一种实现多方数据融合的方法，其中同一组个人的冗余属性由多方存储。特别是，合并后的数据不会遭受后台攻击或其他推理攻击，并且不会泄漏单个属性。为此，我们提出了三种满足K-匿名和差分隐私的算法。在真实数据集上的实验结果表明，该算法可以有效地保存数据挖掘任务中的信息。

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来源
《IEEE transactions on industrial informatics》 |2019年第10期|5765-5777|共13页
作者
Su Xin; Fan Kuan; Shi Wenbo;
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作者单位

Hohai Univ Coll Internet Things Engn Changzhou 213022 Peoples R China;

Northeastern Univ Sch Comp Sci & Engn Shenyang 110819 Liaoning Peoples R China;

Northeastern Univ Sch Comp & Commun Engn Qinhuangdao 066004 Hebei Peoples R China;

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正文语种 eng
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关键词
Data as a server (DaaS); distributed data fusion; differential privacy; K-anonymous; privacy preserving;

机译：数据作为服务器（DaaS）;分布式数据融合;差异性隐私;K-匿名;隐私保护;

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专利

1. Double-Blind Key-Attribute Based Encryption Algorithm for Personalized Privacy-Preserving of Distributed Data Mining [J] . S. Urmela, M. Nandhini International Journal of Applied Engineering Research . 2018,第11aPta10期

机译：基于双盲密钥属性的分布式数据挖掘的个性化隐私保留加密算法
2. PRIVACY-PRESERVING RANDOM PROJECTION-BASED RECOMMENDATIONS BASED ON DISTRIBUTED DATA [J] . CIHAN KALELI, HUSEYIN POLAT International Journal of Information Technology & Decision Making . 2013,第2期

机译：基于分布式数据的基于隐私保留的投影的建议
3. Privacy-Preserving Multi-Authority Attribute-Based Data Sharing Framework for Smart Grid [J] . Zhang Leyou, Ren Juan, Mu Yi, Quality Control, Transactions . 2020,第期

机译：智能电网的基于隐私保留的基于多权限属性的数据共享框架
4. Fusion: Privacy-Preserving Distributed Protocol for High-Dimensional Data Mashup [C] . Gaby G. Dagher, Farkhund Iqbal, Mahtab Arafati, IEEE International Conference on Parallel and Distributed Systems . 2015

机译：融合：高维数据混搭的隐私保护分布式协议
5. Privacy-preserving distributed data mining and processing on horizontally partitioned data. [D] . Kantarcioglu, Murat. 2005

机译：保留隐私的分布式数据挖掘和对水平分区数据的处理。
6. Improving the proof of Privacy-preserving attribute-keyword based data publish-subscribe service on cloud platforms [O] . Shangping Wang, Qian Zhang, Yaling Zhang, -1

机译：改进云平台上基于隐私保护属性关键字的数据发布-订阅服务的证明
7. Improving the proof of “Privacy-preserving attribute-keyword based data publish-subscribe service on cloud platforms” [O] . Shangping Wang, Qian Zhang, Yaling Zhang, 2019

机译：在云平台上提高“隐私保留属性属性 - 关键字基于关键字的数据发布 - 订阅服务”的证明“
8. Distributed Data Fusion and Maritime Domain Awareness for Harbor Protection. [R] . Julier, S. J., Mittu, R. 2006

机译：海港保护的分布式数据融合与海域意识。

Privacy-Preserving Distributed Data Fusion Based on Attribute Protection

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