Rajectory protection schemes based on a gravity mobility model in IoT

Document Type

Article

Publication Date

2-1-2019

Abstract

With the proliferation of the Internet-of-Things (IoT), the users’ trajectory data containing privacy information in the IoT systems are easily exposed to the adversaries in continuous location-based services (LBSs) and trajectory publication. Existing trajectory protection schemes generate dummy trajectories without considering the user mobility pattern accurately. This would cause that the adversaries can easily exclude the dummy trajectories according to the obtained geographic feature information. In this paper, the continuous location entropy and the trajectory entropy are defined based on the gravity mobility model to measure the level of trajectory protection. Then, two trajectory protection schemes are proposed based on the defined entropy metrics to protect the trajectory data in continuous LBSs and trajectory publication, respectively. Experimental results demonstrate that the proposed schemes have a higher level than the enhanced dummy-location selection (enhance-DLS) scheme and the random scheme.

Identifier

85063459966 (Scopus)

Publication Title

Electronics Switzerland

External Full Text Location

https://doi.org/10.3390/electronics8020148

e-ISSN

20799292

Issue

2

Volume

8

Grant

61571108

Fund Ref

National Natural Science Foundation of China

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