A personalized privacy protection data uploading scheme for mobile crowdsensing

Rong Ma; Lei Chen; Jinbo Xiong; Youliang Tian; Qi Li; Ximeng Liu

doi:10.1109/ICII.2019.00048

A personalized privacy protection data uploading scheme for mobile crowdsensing

Rong Ma, Lei Chen, Jinbo Xiong, Youliang Tian, Qi Li, Ximeng Liu

Information Technology

Research output: Contribution to book or proceeding › Conference article › peer-review

2 Scopus citations

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.

Original language	English
Title of host publication	Proceedings - IEEE International Conference on Industrial Internet Cloud, ICII 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	227-232
Number of pages	6
ISBN (Electronic)	9781728129778
DOIs	https://doi.org/10.1109/ICII.2019.00048
State	Published - Nov 2019
Event	IEEE International Conference on Industrial Internet Cloud - Orlando, United States Duration: Nov 10 2019 → Nov 12 2019 Conference number: 2 https://ieeexplore.ieee.org/servlet/opac?punumber=9048088

Publication series

Name	Proceedings - IEEE International Conference on Industrial Internet Cloud, ICII 2019

Conference

Conference	IEEE International Conference on Industrial Internet Cloud
Abbreviated title	IEEE ICII
Country/Territory	United States
City	Orlando
Period	11/10/19 → 11/12/19
Internet address	https://ieeexplore.ieee.org/servlet/opac?punumber=9048088

Scopus Subject Areas

Computer Networks and Communications
Computer Science Applications
Information Systems and Management
Industrial and Manufacturing Engineering
Safety, Risk, Reliability and Quality

Keywords

Game theory
Industrial Internet of Things
Mobile crowdsensing
Personalized privacy protection
Privacy degree

Access to Document

10.1109/ICII.2019.00048

Cite this

Ma, R., Chen, L., Xiong, J., Tian, Y., Li, Q., & Liu, X. (2019). A personalized privacy protection data uploading scheme for mobile crowdsensing. In Proceedings - IEEE International Conference on Industrial Internet Cloud, ICII 2019 (pp. 227-232). Article 9065186 (Proceedings - IEEE International Conference on Industrial Internet Cloud, ICII 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICII.2019.00048

Ma, Rong ; Chen, Lei ; Xiong, Jinbo et al. / A personalized privacy protection data uploading scheme for mobile crowdsensing. Proceedings - IEEE International Conference on Industrial Internet Cloud, ICII 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 227-232 (Proceedings - IEEE International Conference on Industrial Internet Cloud, ICII 2019).

@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.; IEEE International Conference on Industrial Internet Cloud ; 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",

url = "https://ieeexplore.ieee.org/servlet/opac?punumber=9048088",

}

Ma, R, Chen, L, Xiong, J, Tian, Y, Li, Q & Liu, X 2019, A personalized privacy protection data uploading scheme for mobile crowdsensing. in Proceedings - IEEE International Conference on Industrial Internet Cloud, ICII 2019., 9065186, Proceedings - IEEE International Conference on Industrial Internet Cloud, ICII 2019, Institute of Electrical and Electronics Engineers Inc., pp. 227-232, IEEE International Conference on Industrial Internet Cloud, Orlando, Florida, United States, 11/10/19. https://doi.org/10.1109/ICII.2019.00048

A personalized privacy protection data uploading scheme for mobile crowdsensing. / Ma, Rong; Chen, Lei; Xiong, Jinbo et al.
Proceedings - IEEE International Conference on Industrial Internet Cloud, ICII 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 227-232 9065186 (Proceedings - IEEE International Conference on Industrial Internet Cloud, ICII 2019).

Research output: Contribution to book or proceeding › Conference article › peer-review

TY - GEN

T1 - A personalized privacy protection data uploading scheme for mobile crowdsensing

AU - Ma, Rong

AU - Chen, Lei

AU - Xiong, Jinbo

AU - Tian, Youliang

AU - Li, Qi

AU - Liu, Ximeng

N1 - Conference code: 2

PY - 2019/11

Y1 - 2019/11

N2 - 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.

AB - 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.

KW - Game theory

KW - Industrial Internet of Things

KW - Mobile crowdsensing

KW - Personalized privacy protection

KW - Privacy degree

UR - http://www.scopus.com/inward/record.url?scp=85085911069&partnerID=8YFLogxK

U2 - 10.1109/ICII.2019.00048

DO - 10.1109/ICII.2019.00048

M3 - Conference article

AN - SCOPUS:85085911069

T3 - Proceedings - IEEE International Conference on Industrial Internet Cloud, ICII 2019

SP - 227

EP - 232

BT - Proceedings - IEEE International Conference on Industrial Internet Cloud, ICII 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - IEEE International Conference on Industrial Internet Cloud

Y2 - 10 November 2019 through 12 November 2019

ER -

Ma R, Chen L, Xiong J, Tian Y, Li Q, Liu X. A personalized privacy protection data uploading scheme for mobile crowdsensing. In Proceedings - IEEE International Conference on Industrial Internet Cloud, ICII 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 227-232. 9065186. (Proceedings - IEEE International Conference on Industrial Internet Cloud, ICII 2019). doi: 10.1109/ICII.2019.00048

A personalized privacy protection data uploading scheme for mobile crowdsensing

Abstract

Publication series

Conference

Scopus Subject Areas

Keywords

Access to Document

Other files and links

Fingerprint

Cite this