Sensitive Data Privacy Protection of Carrier in Intelligent Logistics System

doi:10.3390/sym16010068

	Sensitive Data Privacy Protection of Carrier in Intelligent Logistics System
	Yao, Zhengyi 1; Tan, Liang 1,2,3; Yi, Junhao 4; Fu, Luxia 1; Zhang, Zhuang 1; Tan, Xinghong 1; Xie, Jingxue 1; She, Kun 5; Yang, Peng 1; Wu, Wanjing 1; Ye, Danlian 1; Yu, Ziyuan 1
	2024
发表期刊	SYMMETRY-BASEL
卷号	16 期号:1 页码:29
摘要	An intelligent logistics system is a production system based on the Internet of Things (IoT), and the logistics information of humans has a high degree of privacy. However, the current intelligent logistics system only protects the privacy of shippers and consignees, without any privacy protection for carriers, which will not only cause carriers' privacy leakage but also indirectly or directly affect the logistics efficiency. It is particularly worth noting that solving this problem requires one to consider the balance between privacy protection and operational visibility. So, the local privacy protection algorithm epsilon-L_LDP for carriers' multidimensional numerical sensitive data and epsilon-LT_LDP for carrier location sensitive data are proposed. For epsilon-L_LDP, firstly, a personalized and locally differentiated privacy budgeting approach is used. Then, the multidimensional data personalization perturbation mechanism algorithm L-PM is designed. Finally, the multidimensional data are perturbed using L-PM. For epsilon-LT_LDP, firstly, the location area is matrix-partitioned and quadtree indexed, and the location data are indexed according to the quadtree to obtain the geographic location code in which it is located. Secondly, the personalized random response perturbation algorithm L-RR for location trajectory data is also designed. Finally, the L-RR algorithm is used to implement the perturbation of geolocation-encoded data. Experiments are conducted using real and simulated datasets, the results show that the epsilon-L_LDP algorithm and epsilon-LT_LDP algorithm can better protect the privacy information of carriers and ensure the availability of carrier data during the logistics process. This effectively meets the balance between the privacy protection and operational visibility of the intelligent logistics system.
关键词	data privacy location privacy smart logistics platform privacy protection
DOI	10.3390/sym16010068
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China
WOS研究方向	Science & Technology - Other Topics
WOS类目	Multidisciplinary Sciences
WOS记录号	WOS:001151335000001
出版者	MDPI
引用统计	被引频次：1[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/38394
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Tan, Liang
作者单位	1.Sichuan Normal Univ, Coll Comp Sci, Chengdu 610066, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Beijing 100864, Peoples R China 3.Univ Elect Sci & Technol China, Inst Cyberspace Secur, Chengdu 610054, Peoples R China 4.Chengdu Jincheng Coll, Software Engn Dept, Chengdu 611731, Peoples R China 5.Univ Elect Sci & Technol China, Coll Informat & Software Engn, Chengdu 610054, Peoples R China
推荐引用方式 GB/T 7714	Yao, Zhengyi,Tan, Liang,Yi, Junhao,et al. Sensitive Data Privacy Protection of Carrier in Intelligent Logistics System[J]. SYMMETRY-BASEL,2024,16(1):29.
APA	Yao, Zhengyi.,Tan, Liang.,Yi, Junhao.,Fu, Luxia.,Zhang, Zhuang.,...&Yu, Ziyuan.(2024).Sensitive Data Privacy Protection of Carrier in Intelligent Logistics System.SYMMETRY-BASEL,16(1),29.
MLA	Yao, Zhengyi,et al."Sensitive Data Privacy Protection of Carrier in Intelligent Logistics System".SYMMETRY-BASEL 16.1(2024):29.