Process Calculus for Modeling and Quantifying Location Privacy
Ding, Jingquan; Li, Xiao; Guo, Yunchuan; Yin, Lihua; Zhang, Huibing
刊名Procedia Computer Science
2019
卷号147期号:1页码:407-415
ISSN号18770509
英文摘要

In the mobile wireless Internet, location privacy is serious concerns. As a response to these concerns, many (formal) location-privacy protection mechanisms (LPPMs) and evaluation metrics for LPPMs have been proposed. It is necessary to integrate formal models into assessments, because this integration can deduce the gap between them: after designing a LPPM, we adopt this integration to formalize and measure it. In this paper, we propose a probabilistic process calculus to model the obfuscation-based schemes (OBS, one LPPM) and use the relative entropy to measure the degree of location privacy OBS can leak. We integrate the two approaches into one unified model. Examples demonstrate the accuracy of our model. Our work decreases the gap between the formalization and the measurement for OBS.

内容类型期刊论文
源URL[http://ir.xjipc.cas.cn/handle/365002/5744]  
专题新疆理化技术研究所_多语种信息技术研究室
作者单位1.Xinjiang Technical Institute of Physics and Chemistry, Urumqi, China
2.Key Laboratory of Speech Language Information Processing, China
3.University of Chinese Academy Sciences, China
4.Institute of Information Engineering, Chinese Academy Sciences, China
5.Guangzhou University, Guangzhou, China
6.Guilin University of Electronic Technology, Guilin, China
推荐引用方式
GB/T 7714
Ding, Jingquan,Li, Xiao,Guo, Yunchuan,et al. Process Calculus for Modeling and Quantifying Location Privacy[J]. Procedia Computer Science,2019,147(1):407-415.
APA Ding, Jingquan,Li, Xiao,Guo, Yunchuan,Yin, Lihua,&Zhang, Huibing.(2019).Process Calculus for Modeling and Quantifying Location Privacy.Procedia Computer Science,147(1),407-415.
MLA Ding, Jingquan,et al."Process Calculus for Modeling and Quantifying Location Privacy".Procedia Computer Science 147.1(2019):407-415.
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