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Privacy-preserving data aggregation framework for mobile service based multiuser collaboration
Joint Authors
Wu, Zhenqiang
Lu, Laifeng
Peng, Changgen
Liu, Hai
Tian, Feng
Source
The International Arab Journal of Information Technology
Issue
Vol. 17, Issue 4 (31 Jul. 2020), pp.450-460, 11 p.
Publisher
Zarqa University Deanship of Scientific Research
Publication Date
2020-07-31
Country of Publication
Jordan
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Abstract EN
Considering the untrusted server, differential privacy and local differential privacy has been used for privacy-preserving in data aggregation.
Through our analysis, differential privacy and local differential privacy cannot achieve Nash equilibrium between privacy and utility for mobile service based multiuser collaboration, which is multiuser negotiating a desired privacy budget in a collaborative manner for privacy-preserving.
To this end, we proposed a Privacy-Preserving Data Aggregation Framework (PPDAF) that reached Nash equilibrium between privacy and utility.
Firstly, we presented an adaptive Gaussian mechanism satisfying Nash equilibrium between privacy and utility by multiplying expected utility factor with conditional filtering noise under expected privacy budget.
Secondly, we constructed PPDAF using adaptive Gaussian mechanism based on negotiating privacy budget with heuristic obfuscation.
Finally, our theoretical analysis and experimental evaluation showed that the PPDAF could achieve Nash equilibrium between privacy and utility.
Furthermore, this framework can be extended to engineering instances in a data aggregation setting.
American Psychological Association (APA)
Liu, Hai& Wu, Zhenqiang& Peng, Changgen& Tian, Feng& Lu, Laifeng. 2020. Privacy-preserving data aggregation framework for mobile service based multiuser collaboration. The International Arab Journal of Information Technology،Vol. 17, no. 4, pp.450-460.
https://search.emarefa.net/detail/BIM-1430874
Modern Language Association (MLA)
Liu, Hai…[et al.]. Privacy-preserving data aggregation framework for mobile service based multiuser collaboration. The International Arab Journal of Information Technology Vol. 17, no. 4 (Jul. 2020), pp.450-460.
https://search.emarefa.net/detail/BIM-1430874
American Medical Association (AMA)
Liu, Hai& Wu, Zhenqiang& Peng, Changgen& Tian, Feng& Lu, Laifeng. Privacy-preserving data aggregation framework for mobile service based multiuser collaboration. The International Arab Journal of Information Technology. 2020. Vol. 17, no. 4, pp.450-460.
https://search.emarefa.net/detail/BIM-1430874
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 458-459
Record ID
BIM-1430874