Title
Participant Grouping for Privacy Preservation in Mobile Crowdsensing over Hierarchical Edge Clouds
Abstract
In mobile crowdsensing (MCS), to select the optimal set of participants for a particular sensing task, the cloud-based MCS platform requires mobile users to submit their bids and their sensing quality data. This can cause privacy breaches. One possible solution is to leverage secure sharing or bidding schemes to protect participants' personal information during selection. However, these schemes suffer from high overheads, poor scalability and more importantly, the group formation has never been studied. To address this issue and to enhance the protection of user privacy, we propose a set of novel privacy-preserving grouping methods, which place participants into small groups over hierarchical edge clouds. By doing this, not only can the participants be hidden in groups, but also the overall privacy-preserving participant selection becomes more scalable. The design goal to minimize the communication cost during secure sharing/bidding within groups, while satisfying each participant's requirement for privacy preservation. For different scenarios and optimization functions, we propose a set of grouping schemes to fulfill this goal. Extensive simulations over both synthetic and real-life datasets illustrate the efficiency of proposed mechanisms.
Year
DOI
Venue
2018
10.1109/PCCC.2018.8710827
2018 IEEE 37th International Performance Computing and Communications Conference (IPCCC)
Keywords
Field
DocType
group formation,user privacy,hierarchical edge clouds,privacy-preserving participant selection,secure sharing/bidding,privacy preservation,optimization functions,grouping schemes,mobile crowdsensing,cloud-based MCS platform,mobile users,privacy breaches,privacy-preserving grouping methods
Computer science,Crowdsensing,Computer network,Human–computer interaction
Conference
ISSN
ISBN
Citations 
1097-2641
978-1-5386-6809-2
0
PageRank 
References 
Authors
0.34
13
8
Name
Order
Citations
PageRank
Ting Li126549.83
Zhijin Qiu200.34
Lijuan Cao3153.36
Hanshang Li4483.57
Zhongwen Guo511613.32
Fan Li685671.71
Xinghua Shi720919.00
Yu Wang862329.05