Secure mobile crowdsensing game

Liang Xiao, Jinliang Liu, Qiangda Li, H. Vincent Poor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Scopus citations

Abstract

By recruiting sensor-equipped smartphone users to report sensing data, mobile crowdsensing (MCS) provides location-based services such as environmental monitoring. However, due to the distributed and potentially selfish nature of smartphone users, mobile crowdsensing applications are vulnerable to faked sensing attacks by users who bid a low price in an MCS auction and provide faked sensing reports to save sensing costs and avoid privacy leakage. In this paper, the interactions among an MCS server and smartphone users are formulated as a mobile crowdsensing game, in which each smartphone user chooses its sensing strategy such as its sensing time and energy to maximize its expected utility while the MCS server classifies the received sensing reports and determines the payment strategy accordingly to stimulate users to provide accurate sensing reports. Nash equilibrium (NE) of a static MCS game is evaluated and a closed-form expression for the NE in a special case is presented. Moreover, a dynamic mobile crowdsensing game is investigated, in which the sensing parameters of a smartphone are unknown by the server and the other users. A Q-learning discriminated pricing strategy is developed for the server to determine the payment to each user. Simulation results show that the proposed pricing mechanism stimulates users to provide high-quality sensing services and suppress faked sensing attacks.

Original languageEnglish (US)
Title of host publication2015 IEEE International Conference on Communications, ICC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages7157-7162
Number of pages6
ISBN (Electronic)9781467364324
DOIs
StatePublished - Sep 9 2015
EventIEEE International Conference on Communications, ICC 2015 - London, United Kingdom
Duration: Jun 8 2015Jun 12 2015

Publication series

NameIEEE International Conference on Communications
Volume2015-September
ISSN (Print)1550-3607

Other

OtherIEEE International Conference on Communications, ICC 2015
CountryUnited Kingdom
CityLondon
Period6/8/156/12/15

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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  • Cite this

    Xiao, L., Liu, J., Li, Q., & Poor, H. V. (2015). Secure mobile crowdsensing game. In 2015 IEEE International Conference on Communications, ICC 2015 (pp. 7157-7162). [7249468] (IEEE International Conference on Communications; Vol. 2015-September). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC.2015.7249468