Abstract：The privacy protection of data publication has been widely concerned and studied，and how to guarantee the high availability of large amounts of data without the disclosure of users′ privacy information has become a big challenge.Due to the mass，diversity and high speed of big data，the traditional privacy protection model for data publication cannot guarantee privacy security.At present，it is urgent to sort out the development status of privacy protection technology in big data release，so as to provide reference for the research and breakthrough of key privacy protection issues in big data release.Therefore，this paper analyzes the existing attack model，introduces the privacy protection methods of grouping technology，encryption technology and distortion technology，summarizes the latest research algorithms，summarizes the application of data publication in specific fields，based on the understanding of the existing technologies，presents the challenges and prospects of privacy protection in data publication in the future.
王明月,张兴,李万杰,张青云,李晓会. 面向数据发布的隐私保护技术研究综述[J]. 小型微型计算机系统, 2020, 41(12): 2657-2667.
WANG Ming-yue,ZHANG Xing,LI Wan-jie,ZHANG Qing-yun,LI Xiao-hui. Review of Research on Privacy Protection Technology for Data Publication. Journal of Chinese Computer Systems, 2020, 41(12): 2657-2667.
2020, Vol. 41 
