Towards User Behavior Forecasting in Mobile Crowdsensing Applications
Author:
Affiliation:
1. Department of Physics, Informatics and Mathematics, University of Modena and Reggio Emilia, Italy
2. Comuni-Chiamo, Italy
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3582515.3609528
Reference18 articles.
1. Luca Bedogni and Federico Montori . 2023. Joint privacy and data quality aware reward in opportunistic Mobile Crowdsensing systems. Journal of Network and Computer Applications ( 2023 ), 103634. https://doi.org/10.1016/j.jnca.2023.103634 10.1016/j.jnca.2023.103634 Luca Bedogni and Federico Montori. 2023. Joint privacy and data quality aware reward in opportunistic Mobile Crowdsensing systems. Journal of Network and Computer Applications (2023), 103634. https://doi.org/10.1016/j.jnca.2023.103634
2. A Lightweight Privacy-Preserving Participant Selection Scheme for Mobile Crowdsensing
3. Differential Privacy: A Survey of Results
4. A Blockchain-Based Reward Mechanism for Mobile Crowdsensing
5. Privacy-preserving mechanisms for location privacy in mobile crowdsensing: A survey
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