Title
Privacy-preserving scheme in social participatory sensing based on Secure Multi-party Cooperation.
Abstract
•We propose a secure multi-party approach to calculate participants’ data sensing ability cooperatively among candidates, which provides essential decision-making basis for participants selection while keeping visible privacy private.•We propose a multi-criteria ranking based participant selection algorithm to achieve quasi-optimal quality of sensing task. Participants are selected iteratively by explicitly considering their data sensing ability, incentive requirements and impact on inferable privacy preservation ability.•We design a distributed mechanism to support data aggregation and incentive distribution that works with the proposed privacy-preserving participant coordination method.•The proposed privacy-preserving scheme is the first to address both visible privacy and inferable privacy problems of participatory sensing task.
Year
DOI
Venue
2018
10.1016/j.comcom.2017.10.007
Computer Communications
Keywords
Field
DocType
Social participatory sensing,Privacy-preserving,Secure Multi-party Cooperation
Data collection,Incentive,Computer security,Computer science,Upload,Communications system,Computer network,Encryption,Participatory sensing,Information quality,Application server
Journal
Volume
ISSN
Citations 
119
0140-3664
2
PageRank 
References 
Authors
0.38
22
7
Name
Order
Citations
PageRank
Ye Tian17522.77
Xiong Li2161983.80
Arun Kumar31427132.32
Edith Cheuk-Han Ngai482354.90
Zheng Song51258.68
Lanshan Zhang620.38
Wendong Wang782172.69