Practical and Privacy-Aware Truth Discovery in Mobile Crowd Sensing Systems
Author:
Affiliation:
1. University of Electronic Science and Technology of China, Chengdu, China
2. University of New Brunswick, New Brunswick, Canada
Funder
Fundamental Research Funds for Chinese Central Universities
National Natural Science Foundation of China
National Key R&D Program of China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3243734.3278529
Reference5 articles.
1. Authenticated Encryption: Relations among Notions and Analysis of the Generic Composition Paradigm
2. Resolving conflicts in heterogeneous data by truth discovery and source reliability estimation
3. Cloud-Enabled Privacy-Preserving Truth Discovery in Crowd Sensing Systems
4. Non-Interactive Privacy-Preserving Truth Discovery in Crowd Sensing Applications
5. Zheng et al. 2017. Privacy-Aware and Efficient Mobile Crowdsensing with Truth Discovery. IEEE Transactions on Dependable and Secure Computing (2017). Zheng et al. 2017. Privacy-Aware and Efficient Mobile Crowdsensing with Truth Discovery. IEEE Transactions on Dependable and Secure Computing (2017).
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