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Frontiers of Computer Science

Front. Comput. Sci.    2018, Vol. 12 Issue (6) : 1264-1266
Geo-social network publication based on differential privacy
Xiaochun WANG, Yidong LI()
School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China
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Corresponding Authors: Yidong LI   
Online First Date: 15 November 2018    Issue Date: 04 December 2018
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Xiaochun WANG,Yidong LI. Geo-social network publication based on differential privacy[J]. Front. Comput. Sci., 2018, 12(6): 1264-1266.
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Xiaochun WANG
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1 Xiong P, Zhu T, Niu W, Li G. A differentially private algorithm for location data release. Knowledge and Information Systems, 2016, 47(3): 647–669
2 Albelaihy A, Cazalas J. A survey of the current trends of privacy techniques employed in protecting the location privacy of users in LBSs. In: Proceedings of the 2nd International Conference on Anti-Cyber Crimes. 2017, 19–24
3 Li J, Liu Z, Chen X, Xhafa F, Tan X, Wong D S. L-EncDB: a lightweight framework for privacy-preserving data queries in cloud computing. Knowledge-Based Systems, 2015, 79: 18–26
4 Li P, Li J, Huang Z, Li T, Gao C Z, Yiu S M, Chen K. Multi-key privacy-preserving deep learning in cloud computing. Future Generation Computer Systems, 2017, 74: 76–85
5 Gao C, Cheng Q, He P, Susilo W, Li J. Privacy-preserving Naive Bayes classifiers secure against the substitution-then-comparison attack. Information Sciences, 2018, 444: 72–88
6 Li Y C, Li Y D, Xu G. Protecting private geosocial networks against practical hybrid attacks with heterogeneous information. Neurocomputing, 2016, 210: 81–90
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