Chinese Journal of Network and Information Security ›› 2016, Vol. 2 ›› Issue (4): 44-55.doi: 10.11959/j.issn.2096-109x.2016.00042

• Comprehensive Reviews • Previous Articles     Next Articles

Survey of big-data-analysis-resistant privacy protection

Wei TONG1,2,AOYun-long M1,2,Qing-jun CEHN1,2,Bin-ru WANG1,2,Bao-jia ZHANG1,2,Sheng ZHONG1,2   

  1. 1 Department of Computer Science and Technology,Nanjing University,Nanjing 210023,China
    2 National Key Laboratory for Novel Software Technology,Nanjing University,Nanjing 210023,China
  • Revised:2016-04-03 Online:2016-04-01 Published:2016-05-25
  • Supported by:
    The National Natural Science Foundation of China(61321491);The National Natural Science Foundation of China(61425024);The National Natural Science Foundation of China(61300235);The National Natural Science Foundation of China(61402223);Jiangsu Province Double Innovation Talent Program


Privacy protection plays a significant role in big data era for data sharing and analysis.Traditional privacy protection approaches may not apply well for big data scenarios,because there may exist deep associations which can also cause privacy leakages.Therefore,privacy protection mechanisms that can defend against big data analysis is needed.A survey on related works was conducted,and the previous works were classified into three categories:privacy protection for massive high-dimensional heterogeneous data,location privacy protection and privacy protec-tion with enhanced utility.Then,the works in this area by COSEC group from nanjing university were introduced.At last,the privacy protection against big data analysis which was important and forward-looking was concluded,and the possible directions in this research area were introduced.

Key words: privacy protection, big data, differential privacy, location privacy

CLC Number: 

No Suggested Reading articles found!