Statistics release and privacy protection method of location big data based on deep learning

doi:10.11959/j.issn.1000-436x.2022006

	Statistics release and privacy protection method of location big data based on deep learning
	Yan, Yan 1,2; Cong, Yiming 2; Mahmood, Adnan 1; Sheng, Quanzheng 1
刊名	Tongxin Xuebao/Journal on Communications
	2022-01-25
卷号	43 期号:1 页码:203-216
关键词	Big data Budget control Data privacy Deep learning Efficiency Forecasting Publishing Data publishing Deep learning Differential privacies Location privacy Partition structures Privacy protection Privacy protection data publishing Private spatial decomposition Protection methods Spatial decompositions
ISSN号	1000-436X
DOI	10.11959/j.issn.1000-436x.2022006
英文摘要	Aiming at the problems of the unreasonable structure and the low efficiency of the traditional statistical partition and publishing of location big data, a deep learning-based statistical partition structure prediction method and a differential publishing method were proposed to enhance the efficacy of the partition algorithm and improve the availability of the published location big data. Firstly, the two-dimensional space was intelligently partitioned and merged from the bottom to the top to construct a reasonable partition structure. Subsequently, the partition structure matrices were organized as a three-dimensional spatio-temporal sequence, and the spatio-temporal characteristics were extracted via the deep learning model in a bid to realize the prediction of the partition structure. Finally, the differential privacy budget allocation and Laplace noise addition were implemented on the prediction partition structure to realize the privacy protection of the statistical partition and publishing of location big data. Experimental comparison of the real location big data sets proves the advantages of the proposed method in improving the querying accuracy of the published location big data and the execution efficiency of the publishing algorithm. © 2022, Editorial Board of Journal on Communications. All right reserved.
语种	中文
出版者	Editorial Board of Journal on Communications
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/157936]
专题	计算机与通信学院
作者单位	1.Faculty of Science and Engineering, Macquarie University, NSW; 2109, Australia 2.School of Computer and Communication, Lanzhou University of Technology, Lanzhou; 730050, China;
推荐引用方式 GB/T 7714	Yan, Yan,Cong, Yiming,Mahmood, Adnan,et al. Statistics release and privacy protection method of location big data based on deep learning[J]. Tongxin Xuebao/Journal on Communications,2022,43(1):203-216.
APA	Yan, Yan,Cong, Yiming,Mahmood, Adnan,&Sheng, Quanzheng.(2022).Statistics release and privacy protection method of location big data based on deep learning.Tongxin Xuebao/Journal on Communications,43(1),203-216.
MLA	Yan, Yan,et al."Statistics release and privacy protection method of location big data based on deep learning".Tongxin Xuebao/Journal on Communications 43.1(2022):203-216.