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    δ-Calculus: A New Approach to Quantifying Location Privacy☆

    Lihua Yin1, Ran Li1, 2, *, Jingquan Ding3, 4, 5, *, Xiao Li3, 4, 5, Yunchuan Guo2, Huibing Zhang6, Ang Li7

    CMC-Computers, Materials & Continua, Vol.63, No.3, pp. 1323-1342, 2020, DOI:10.32604/cmc.2020.09667

    Abstract 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… More >

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