Title | ||
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Privacy-preserving scheme in social participatory sensing based on Secure Multi-party Cooperation. |
Abstract | ||
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•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 |
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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 Tian | 1 | 75 | 22.77 |
Xiong Li | 2 | 1619 | 83.80 |
Arun Kumar | 3 | 1427 | 132.32 |
Edith Cheuk-Han Ngai | 4 | 823 | 54.90 |
Zheng Song | 5 | 125 | 8.68 |
Lanshan Zhang | 6 | 2 | 0.38 |
Wendong Wang | 7 | 821 | 72.69 |