@inproceedings{7ef64b8ebc8c4849b53ec9c8afa5fe63,
title = "A personalized privacy protection data uploading scheme for mobile crowdsensing",
abstract = "Mobile crowdsensing is a typical application of the Industrial Internet of hings and brings a promising opportunity to construct powerful industrial systems and services. The existing privacy protection schemes usually adopt a unified privacy protection policy for all sensing data due to lack of effective privacy metrics, thereby resulting in excessive or insufficient protection of privacy information and low accuracy of sensing data. To tackle these issues, in this paper, we propose a personalized privacy protection data uploading (PPDU) scheme based on game theory and sensing user's historical spatio-temporal data. In PPDU, a personalized privacy measurement algorithm is designed to obtain the personalized privacy degree of user sensing data. Based on the privacy degree, a user uploading behavior game is designed by employing an incomplete information game, and a game-based spatio-temporal sensing data uploading method is proposed for user privacy protection. Simulation experiments with real trajectory data show that the PPDU scheme makes a reasonable balance between retaining high quality of crowdsensing service and protecting user's privacy.",
keywords = "Game theory, Industrial Internet of Things, Mobile crowdsensing, Personalized privacy protection, Privacy degree",
author = "Rong Ma and Lei Chen and Jinbo Xiong and Youliang Tian and Qi Li and Ximeng Liu",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2nd IEEE International Conference on Industrial Internet Cloud, ICII 2019 ; Conference date: 10-11-2019 Through 12-11-2019",
year = "2019",
month = nov,
doi = "10.1109/ICII.2019.00048",
language = "English",
series = "Proceedings - IEEE International Conference on Industrial Internet Cloud, ICII 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "227--232",
booktitle = "Proceedings - IEEE International Conference on Industrial Internet Cloud, ICII 2019",
address = "United States",
}