TY - GEN
T1 - Privacy-Preserving and Trustworthy Mobile Sensing with Fair Incentives
AU - Wu, Haiqin
AU - Wang, Liangmin
AU - Xue, Guoliang
AU - Tang, Jian
AU - Yang, Dejun
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/5
Y1 - 2019/5
N2 - Pervasive mobile devices and their advances in sensing and networking have led to an emerging mobile sensing paradigm. The diversity of mobile users and the openness of sensing systems raise several crucial concerns for users' privacy, data quantity, and quality. Although different aspects of these issues were addressed separately in existing researches, there is still a need to provide a holistic solution for secure and privacy-aware mobile sensing. In this paper, we propose a privacy-aware and trustworthy mobile sensing scheme with fair incentives. Leveraging group signature, (partial) blind signature, and limited number of pseudonyms technologies, our scheme enables well-behaved users to contribute their data anonymously, and prevents both greedy and malicious users from abusing the privacy protection. Moreover, we design a fair incentive scheme to stimulate users to contribute high-quality data, based on the data quality and the reputation feedback level. Security analysis demonstrates that our proposed scheme achieves the security goals. Extensive evaluation results are presented which demonstrate the effectiveness and efficiency of our scheme.
AB - Pervasive mobile devices and their advances in sensing and networking have led to an emerging mobile sensing paradigm. The diversity of mobile users and the openness of sensing systems raise several crucial concerns for users' privacy, data quantity, and quality. Although different aspects of these issues were addressed separately in existing researches, there is still a need to provide a holistic solution for secure and privacy-aware mobile sensing. In this paper, we propose a privacy-aware and trustworthy mobile sensing scheme with fair incentives. Leveraging group signature, (partial) blind signature, and limited number of pseudonyms technologies, our scheme enables well-behaved users to contribute their data anonymously, and prevents both greedy and malicious users from abusing the privacy protection. Moreover, we design a fair incentive scheme to stimulate users to contribute high-quality data, based on the data quality and the reputation feedback level. Security analysis demonstrates that our proposed scheme achieves the security goals. Extensive evaluation results are presented which demonstrate the effectiveness and efficiency of our scheme.
UR - http://www.scopus.com/inward/record.url?scp=85070215127&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85070215127&partnerID=8YFLogxK
U2 - 10.1109/ICC.2019.8761094
DO - 10.1109/ICC.2019.8761094
M3 - Conference contribution
AN - SCOPUS:85070215127
T3 - IEEE International Conference on Communications
BT - 2019 IEEE International Conference on Communications, ICC 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE International Conference on Communications, ICC 2019
Y2 - 20 May 2019 through 24 May 2019
ER -