Trajectory Protection Schemes Based on a Gravity Mobility Model in IoT

Electronics

Qiang Fan¹  Kan Wang²  Cui Zhang³  Qiong Wu⁴  Zhengquan Li⁴  Hanxu Liu⁴ 

[1] Advanced Networking Lab., Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA;Faculty of Computer Science and Engineering, Xi’an University of Technology, Xi’an 710048, China;Huawei Technologies Co., Ltd, Shanghai 201206, China;Jiangsu Provincial Engineering Laboratory for Pattern Recognition and Computational Intelligence, Jiangnan University, Wuxi 214122, China;

关键词: trajectory protection;    entropy;    gravity model;    IoT;   

DOI  :  10.3390/electronics8020148

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown