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
- 30 April 2020
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 >