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A Privacy-Preserving Incentive Mechanism for Mobile Crowdsensing Based on Blockchain
IEEE Transactions on Dependable and Secure ComputingMobile crowdsensing (MCS) is an efficient approach for large-scale sensing data collection by leveraging the mobility and capability of mobile devices.
Fei Tong +5 more
semanticscholar +1 more source
IEEE Transactions on Computational Social Systems
With the development of the Industrial Internet of Things (IoT), the work of large-scale data collection makes spatiotemporal crowdsensing (SC) play an important role.
Kaige Jiang +7 more
semanticscholar +1 more source
With the development of the Industrial Internet of Things (IoT), the work of large-scale data collection makes spatiotemporal crowdsensing (SC) play an important role.
Kaige Jiang +7 more
semanticscholar +1 more source
Posted pricing for robust crowdsensing
Proceedings of the 17th ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2016Mobile crowdsensing has been considered as a promising approach for large scale urban data collection, but has also posed new challenging problems such as incentivization and quality control. Among the other incentivization approaches, posted pricing has been widely adopted by commercial systems due to the reason that it naturally achieves truthfulness
Kai Han, He Huang, Jun Luo
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Data Poisoning Attacks and Defenses to LDP-Based Privacy-Preserving Crowdsensing
IEEE Transactions on Dependable and Secure ComputingIn this article, we explore data poisoning attacks and their defenses in local differential privacy (LDP)-based crowdsensing systems. First, we construct data poisoning attacks launched by corrupted workers to subvert crowdsensing results by tampering ...
Zhirun Zheng +5 more
semanticscholar +1 more source
Age of Information Optimization for Privacy-Preserving Mobile Crowdsensing
IEEE Transactions on Emerging Topics in ComputingMobile crowdsensing (MCS)-enabled data collection can be implemented in a cost-effective, scalable, and flexible manner. However, joint sensing data freshness and security assurance have not been fully investigated in the current research.
Yaoqi Yang +5 more
semanticscholar +1 more source
Hybrid User-Based Task Assignment for Mobile Crowdsensing: Problem and Algorithm
IEEE Internet of Things JournalWith the rapid growth of Internet of Things and proliferation of handheld smart devices, mobile crowdsensing has been regarded as an effective sensing paradigm due to its high scalability, low cost, and wide coverage.
Kun Liu +4 more
semanticscholar +1 more source
Crowdsensing Simulation Using ns-3
2013A crowdsensing network is a sensor network in which sensors are users that sense the environment and send the obtained data using, for instance, their smartphones. The performance of such sensor networks depends heavily on the mobility of the users and their willingness to collaborate.
Cristian Tanas +1 more
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Bi-Objective Incentive Mechanism for Mobile Crowdsensing With Budget/Cost Constraint
IEEE Transactions on Mobile ComputingIn recent years, mobile crowdsensing (MCS) has been widely adopted as an efficient method for large-scale data collection. In MCS systems, insufficient participation and unstable data quality have become two crucial issues that prevent crowdsensing from ...
Yuanhang Zhou, Fei Tong, Shibo He
semanticscholar +1 more source
Group Task Recommendation in Mobile Crowdsensing: An Attention-Based Neural Collaborative Approach
IEEE Transactions on Mobile ComputingCollaborative tasks often require the cooperation of multiple individuals to be completed in mobile crowdsensing (MCS). However, previous task recommendations predominantly focused on individuals rather than groups, making them less effective for ...
Kaimin Wei +4 more
semanticscholar +1 more source