delta-Calculus: A New Approach to Quantifying Location Privacy | |
Yin, LH (Yin, Lihua)[ 1 ]; Li, R (Li, Ran)[ 1,2 ]; Ding, JQ (Ding, Jingquan)[ 3,4,5 ]; Li, X (Li, Xiao)[ 3,4,5 ]; Guo, YC (Guo, Yunchuan)[ 2 ]; Zhang, HB (Zhang, Huibing)[ 6 ]; Li, A (Li, Ang)[ 7 ] | |
刊名 | CMC-COMPUTERS MATERIALS & CONTINUA |
2020 | |
卷号 | 63期号:3页码:1323-1342 |
关键词 | Location privacy delta-calculus relative entropy |
ISSN号 | 1546-2218 |
DOI | 10.32604/cmc.2020.09667 |
英文摘要 | With the rapid development of mobile wireless Internet and high-precision localization devices, location-based services (LBS) bring more convenience for people over recent years. In LBS, if the original location data are directly provided, serious privacy problems raise. As a response to these problems, a large number of location-privacy protection mechanisms (LPPMs) (including formal LPPMs, FLPPMs, etc.) and their evaluation metrics have been proposed to prevent personal location information from being leakage and quantify privacy leakage. However, existing schemes independently consider FLPPMs and evaluation metrics, without synergizing them into a unifying framework. In this paper, a unified model is proposed to synergize FLPPMs and evaluation metrics. In detail, the probabilistic process calculus (called delta-calculus) is proposed to characterize obfuscation schemes (which is a LPPM) and integrate alpha-entropy to delta-calculus to evaluate its privacy leakage. Further, we use two calculus moving and probabilistic choice to model nodes' mobility and compute its probability distribution of nodes' locations, and a renaming function to model privacy leakage. By formally defining the attacker's ability and extending relative entropy, an evaluation algorithm is proposed to quantify the leakage of location privacy. Finally, a series of examples are designed to demonstrate the efficiency of our proposed approach. |
WOS记录号 | WOS:000530861300016 |
内容类型 | 期刊论文 |
源URL | [http://ir.xjipc.cas.cn/handle/365002/7341] |
专题 | 新疆理化技术研究所_多语种信息技术研究室 |
通讯作者 | Ding, JQ (Ding, Jingquan)[ 3,4,5 ] |
作者单位 | 1.Duke Univ, Dept Elect & Comp Engn, Durham, NC 27708 USA 2.Guilin Univ Elect Technol, Guilin 541004, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Key Lab Speech Language Informat Proc Xinjiang, Urumqi 830046, Peoples R China 5.Chinese Acad Sci, Xinjiang Tech Inst Phys & Chem, Urumqi 830011, Peoples R China 6.Chinese Acad Sci, Inst Informat Engn, Beijing 100093, Peoples R China 7.Guangzhou Univ, Cyberspace Inst Adv Technol, Guangzhou 510006, Peoples R China |
推荐引用方式 GB/T 7714 | Yin, LH ,Li, R ,Ding, JQ ,et al. delta-Calculus: A New Approach to Quantifying Location Privacy[J]. CMC-COMPUTERS MATERIALS & CONTINUA,2020,63(3):1323-1342. |
APA | Yin, LH .,Li, R .,Ding, JQ .,Li, X .,Guo, YC .,...&Li, A .(2020).delta-Calculus: A New Approach to Quantifying Location Privacy.CMC-COMPUTERS MATERIALS & CONTINUA,63(3),1323-1342. |
MLA | Yin, LH ,et al."delta-Calculus: A New Approach to Quantifying Location Privacy".CMC-COMPUTERS MATERIALS & CONTINUA 63.3(2020):1323-1342. |
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