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Correlated Friends' Impacts in Social-crowdsensing
Proceedings of the 2nd International Workshop on Social Sensing, 2017Social sensing is a typical application of the crowdsourcing system. With the consideration of system timeliness, flexibility, and stability, it could not be more natural to build a self-organized, distributed, and cross-platform crowdsourcing system. Social-crowdsensing (SC) is the first attempt.
Wei Chang 0001 +2 more
openaire +1 more source
Fog-Enabled Privacy-Preserving Multi-Task Data Aggregation for Mobile Crowdsensing
IEEE Transactions on Dependable and Secure ComputingPrivacy-preserving data aggregation in mobile crowdsensing (MCS) focuses on mining information from massive sensing data while protecting users’ privacy.
Xingfu Yan +5 more
semanticscholar +1 more source
Spatiotemporal-Aware Privacy-Preserving Task Matching in Mobile Crowdsensing
IEEE Internet of Things JournalTask matching is widely used for participant selection in mobile crowdsensing (MCS). However, accurate task matching relies on collecting a large amount of user information, which has the risk of privacy leakage. Existing privacy-preserving task matching
Tao Peng +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
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
IEEE Systems Journal
Mobile crowdsensing in intelligent transportation systems is a new data acquisition mode that utilizes vehicles to sense a changing traffic environment, where incentive mechanisms play a vital role in motivating vehicles to participate.
Mengge Li +5 more
semanticscholar +1 more source
Mobile crowdsensing in intelligent transportation systems is a new data acquisition mode that utilizes vehicles to sense a changing traffic environment, where incentive mechanisms play a vital role in motivating vehicles to participate.
Mengge Li +5 more
semanticscholar +1 more source
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
Preserving privacy in mobile crowdsensing
International Journal of Sensor Networks, 2022Bayan Hashr Alamri +4 more
openaire +1 more source
Trajectory Privacy Protection Method Based on Differential Privacy in Crowdsensing
IEEE Transactions on Services ComputingWith the widespread popularity of smartphones, watches, and other devices, mobile crowd sensing has garnered significant public attention. Application service providers publish crowd sensing tasks, and users actively participate in collecting relevant ...
Qiong Zhang +5 more
semanticscholar +1 more source