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...

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Bibliographic Details
Published inProceedings (IEEE International Conference on Software Engineering and Service Sciences. Print) pp. 438 - 441
Main Authors Yuli Wang, Jiayin Tian, Cheng Yang, Yaping Zhu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2016
Subjects
dynamic data
Joining processes
K-anonymous
Knowledge based systems
L-diversity
Medical services
Micro data
Privacy
Publishing
static data
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ISSN2327-0594
DOI10.1109/ICSESS.2016.7883103

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Summary: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.
ISSN:2327-0594
DOI:10.1109/ICSESS.2016.7883103