大数据发布匿名保护技术研究

2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2016-08-01 DOI:10.1109/ICSESS.2016.7883103

Yuli Wang, Jiayin Tian, Cheng Yang, Yaping Zhu

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引用次数: 2

摘要

大数据发布匿名技术是实现隐私保护的主要途径，是数据发布隐私保护的研究热点。对数据进行匿名保护是微数据发布过程中保护数据主体隐私的有效途径。分析了数据发布隐私保护技术中的匿名模型和主要技术，归纳总结了各种匿名化算法的优缺点和存在的问题。最后，展望了隐私保护匿名技术的发展方向。

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Research on anonymous protection technology for big data publishing

Big data publishing anonymity technology is the main way to achieve privacy protection, it is a research hotspot of data publishing privacy protection. Applying anonymity protection to data is an effective way to protect the privacy of data subject in the process of micro data publishing. This paper analyzes the data publishing privacy protection technology in the anonymous models and main technologies, induces and summarizes the advantages and disadvantages of the anonymization algorithms and the existing problems. Finally, the development direction of privacy protection anonymity technology is prospected.

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来源期刊

2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS)

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