P2: A Location Privacy-Preserving Auction Mechanism for Mobile Crowd Sensing

It is of significant importance to provide incentives to smartphone users in mobile crowd sensing systems. And a number of auction-based incentive mechanisms have been proposed. However, an auction-based incentive mechanism may unexpectedly release the location privacy of smartphone users, which may seriously reduce users' willingness of participating in mobile crowd sensing. In an auction-based mechanism, even if the location of the user is not enclosed in its bid submitted to the platform, the location information may still be inferred by an adversary by using the prices of the tasks required by the user. We show such an attack on a typical auction-based incentive mechanism and reveal that the attack can recover the location information of a smartphone user by merely knowing the bid from the user. To defend against such an attack, we propose P², a location privacy-preserving auction mechanism for mobile crowd sensing systems. This mechanism encrypts prices in a bid so that the adversary cannot access and hence the location privacy of the user can be protected. In the meanwhile, however, the auction can proceed properly, i.e., the platform can select the user offering the lowest price for each sensing task. We demonstrate the effectiveness of our the proposed mechanism with simulation experiments.

[1]  Deborah Estrin,et al.  PEIR, the personal environmental impact report, as a platform for participatory sensing systems research , 2009, MobiSys '09.

[2]  Qinghua Li,et al.  Providing privacy-aware incentives for mobile sensing , 2013, 2013 IEEE International Conference on Pervasive Computing and Communications (PerCom).

[3]  Takahiro Hara,et al.  A user location anonymization method for location based services in a real environment , 2010, GIS '10.

[4]  Haifeng Xu,et al.  Improving the efficiency of crowdsourcing contests , 2014, AAMAS.

[5]  Xi Fang,et al.  Crowdsourcing to smartphones: incentive mechanism design for mobile phone sensing , 2012, Mobicom '12.

[6]  Baik Hoh,et al.  Sell your experiences: a market mechanism based incentive for participatory sensing , 2010, 2010 IEEE International Conference on Pervasive Computing and Communications (PerCom).

[7]  Sivan Toledo,et al.  VTrack: accurate, energy-aware road traffic delay estimation using mobile phones , 2009, SenSys '09.

[8]  Salil S. Kanhere,et al.  IncogniSense: An anonymity-preserving reputation framework for participatory sensing applications , 2012, 2012 IEEE International Conference on Pervasive Computing and Communications.

[9]  Takahiro Hara,et al.  A dummy-based anonymization method based on user trajectory with pauses , 2012, SIGSPATIAL/GIS.

[10]  Jianliang Xu,et al.  Protecting Location Privacy against Location-Dependent Attacks in Mobile Services , 2008, IEEE Transactions on Knowledge and Data Engineering.

[11]  Songwu Lu,et al.  Design and Implementation of Cross-Domain Cooperative Firewall , 2007, 2007 IEEE International Conference on Network Protocols.

[12]  Ramachandran Ramjee,et al.  Nericell: rich monitoring of road and traffic conditions using mobile smartphones , 2008, SenSys '08.

[13]  Hwee Pink Tan,et al.  Profit-maximizing incentive for participatory sensing , 2014, IEEE INFOCOM 2014 - IEEE Conference on Computer Communications.

[14]  Alex X. Liu,et al.  Collaborative enforcement of firewall policies in virtual private networks , 2008, PODC '08.

[15]  Tetsuji Satoh,et al.  Protection of Location Privacy using Dummies for Location-based Services , 2005, 21st International Conference on Data Engineering Workshops (ICDEW'05).

[16]  Wen Hu,et al.  Ear-phone: an end-to-end participatory urban noise mapping system , 2010, IPSN '10.

[17]  Kin K. Leung,et al.  A Survey of Incentive Mechanisms for Participatory Sensing , 2015, IEEE Communications Surveys & Tutorials.

[18]  Rong Du,et al.  Location Privacy Preserving Dynamic Spectrum Auction in Cognitive Radio Network , 2013, 2013 IEEE 33rd International Conference on Distributed Computing Systems.

[19]  Maria Luisa Damiani,et al.  Privacy-Preserving Sharing of Sensitive Semantic Locations under Road-Network Constraints , 2012, 2012 IEEE 13th International Conference on Mobile Data Management.

[20]  Qinghua Li,et al.  Providing Efficient Privacy-Aware Incentives for Mobile Sensing , 2014, 2014 IEEE 34th International Conference on Distributed Computing Systems.

[21]  Ramachandran Ramjee,et al.  Nericell: using mobile smartphones for rich monitoring of road and traffic conditions , 2008, SenSys '08.

[22]  Ling Liu,et al.  Protecting Location Privacy with Personalized k-Anonymity: Architecture and Algorithms , 2008, IEEE Transactions on Mobile Computing.

[23]  Jian Ma,et al.  A novel privacy protection scheme for participatory sensing with incentives , 2012, 2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems.