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CrowdBLPS: A Blockchain-Based Location-Privacy-Preserving Mobile Crowdsensing System
2020
IEEE Transactions on Industrial Informatics
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To solve these two problems, an effective blockchain-based location-privacy-preserving crowdsensing model, CrowdBLPS, is proposed in this article. ...
Furthermore, the data quality collected through crowdsensing is varied, and the location privacy is difficult to guarantee, especially at the worker selection stage. ...
to deal with the issues about data quality and location privacy preserving [11] . ...
doi:10.1109/tii.2019.2957791
fatcat:f26su7g5pnbobcs2ceyxlve3ki
Federated Crowdsensing: Framework and Challenges
[article]
2020
arXiv
pre-print
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Recently, federated learning paradigm has been proposed, which aims to achieve privacy preservation in machine learning while ensuring that the learning quality suffers little or no loss. ...
However, this inevitably results in quality loss to the crowdsensing task. ...
crowdsensing. We expect that this article can attract more researchers into the federated crowdsensing area to achieve privacy-preserving, efficient, and robust crowdsensing campaigns. ...
arXiv:2011.03208v1
fatcat:fzdn2pswrfai7ocsklp6cwyo3y
The Accuracy-Privacy Trade-off of Mobile Crowdsensing
2017
IEEE Communications Magazine
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This article addresses the contradicting incentives of privacy preservation by crowdsensing users and accuracy maximization and collection of true data by service providers. ...
Finally, we outline important open research directions in mobile and people-centric crowdsensing. ...
Challenges of Privacy Preservation in Mobile Crowdsensing The authors in [12] reviewed the privacy threats and protection methods during the task management in mobile crowdsensing. ...
doi:10.1109/mcom.2017.1600737
fatcat:7umd2g2cd5ewjasdcg5s5x2jkm
The Accuracy-Privacy Tradeoff of Mobile Crowdsensing
[article]
2017
arXiv
pre-print
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This article addresses the contradicting incentives of privacy preservation by crowdsensing users and accuracy maximization and collection of true data by service providers. ...
Finally, we outline important open research directions in mobile and people-centric crowdsensing. ...
Challenges of Privacy Preservation in Mobile Crowdsensing The authors in [12] reviewed the privacy threats and protection methods during the task management in mobile crowdsensing. ...
arXiv:1702.04565v1
fatcat:wuypzx5tovc2pdvw22i4he2xwe
Privacy Preserving and Cost Optimal Mobile Crowdsensing using Smart Contracts on Blockchain
[article]
2018
arXiv
pre-print
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Blockchain technologies enable semi-anonymous multi-party interactions and can be utilized in crowdsensing applications to maintain the privacy of the mobile users while ensuring first-rate crowdsensed ...
However, we need to offer appropriate incentives to the mobile users who contribute their resources and preserve their privacy. ...
In summary, our contributions are the following: Contributions: We address the problem of privacy preserving crowdsensing in a cost-optimal way by proposing the use of an ISP as the intermediary between ...
arXiv:1808.04056v2
fatcat:hfprszpkqbcklo2hn67iadi2om
Credibility on Crowdsensing Data Acquisition
2019
Journal of Communication and Information Systems
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The results show that the absence of standard models in the data capture process and the human factors such as individualism, inattention, and the possibility of errors (whether they are intentional or ...
However, one concern with crowdsensing is the information credibility and, over the last few years, we have seen a variety of approaches to leverage credibility on the crowdsensing platforms. ...
ACKNOWLEDGMENTS This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior-Brasil (CAPES) -Finance Code 001. ...
doi:10.14209/jcis.2019.26
fatcat:o4cja467jbgenap4akpxmcu3ym
Federated Learning in Smart City Sensing: Challenges and Opportunities
2020
Sensors
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Despite their effectiveness, legacy data acquisition models backed with centralized Machine Learning models entail security and privacy concerns, and lead to less participation in large-scale sensing and ...
To overcome these challenges, Federated Learning is a novel concept that can serve as a solution to the privacy and security issues encountered within the process of data collection. ...
User Privacy Protection Preserving the privacy for participating users in Mobile Crowdsensing campaigns is a top priority for the server. ...
doi:10.3390/s20216230
pmid:33142863
pmcid:PMC7662977
fatcat:gl7qvweau5gzjmld6n6jabxcee
Simulation Of Trust-Based Mechanism For Enhancing User Confidence In Mobile Crowdsensing Systems
2020
IEEE Access
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INDEX TERMS Mobile crowdsensing, quality-of-data, quality-of-service, security, trust-based scheme. 20870 This work is licensed under a Creative Commons Attribution 4.0 License. ...
In MCS systems, trust is a key focus in the overall improvement in the participant uptake of the sensing tasks. ...
Demands for the location privacy preservation and the task completion rate when developing an optimal task allocation method must be considered in the design of the MCS systems. ...
doi:10.1109/access.2020.2968797
fatcat:kegfiusr2bcudifqh2vze4bbd4
Incentivizing for Truth Discovery in Edge-assisted Large-scale Mobile Crowdsensing
2020
Sensors
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In budget feasible reverse auction stage, we design a greedy algorithm to select the winners to maximize the quality function under the budget constraint. ...
In this paper, we propose an integrated solution to stimulate the strategic users to contribute more for truth discovery in the edge-assisted mobile crowdsensing. ...
Some privacy-preserving incentive mechanisms are proposed for mobile crowdsensing. ...
doi:10.3390/s20030805
pmid:32024221
pmcid:PMC7038706
fatcat:k77cnylktrcqjcmwbvo7opq2ki
A Novel Task Allocation Algorithm in Mobile Crowdsensing with Spatial Privacy Preservation
2019
Wireless Communications and Mobile Computing
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It maximizes the benefit of the crowdsensing platform and meanwhile preserves the privacy of participants. ...
The crowdsensing platform is the key entity who allocates tasks to participants in a mobile crowdsensing system. ...
Some traditional methods [33] [34] [35] [36] based on spatial cloaking are suitable for preserving privacy in mobile crowdsensing. ...
doi:10.1155/2019/3154917
fatcat:22fks2j3ibgape5ap3b5yhbara
Adopting incentive mechanisms for large-scale participation in mobile crowdsensing: from literature review to a conceptual framework
2016
Human-Centric Computing and Information Sciences
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The phenomenal growth in the richness and diversity of sensors on smart devices [3], combined with the inherent ...
With rapid growth in mobile technologies, smart devices such as mobile phones, smart vehicles and wearables are fast becoming powerful sensing units used at a societal scale for monitoring the surrounding ...
Several of such privacy-preserving mechanisms have been proposed in the literature. ...
doi:10.1186/s13673-016-0080-3
fatcat:euypyllcvncvbpnnulyxghncfq
Crowdsensing: Socio-Technical Challenges and Opportunities
2017
International Journal of Advanced Computer Science and Applications
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There are different socio-technical challenges but the challenge of privacy in crowdsensing requires extra measures to realize the vision of mobile crowdsensing. ...
The sensors in mobile devices are being used in a variety of ways to sense and actuate. Mobile crowdsensing is a paradigm that involves ordinary people to participate in a sensing task. ...
Another privacy preserving approach which is secure multiparty computation [53] , in which cryptographic techniques are used to transfer data to preserve the security. ...
doi:10.14569/ijacsa.2017.080351
fatcat:icmwbyqywjaa5ldtj5ihjm6bqy
A Survey on Social-Physical Sensing
[article]
2021
arXiv
pre-print
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., through social media or crowdsensing apps) to perceive the environment. ...
., high application specificity, partial autonomy, and sparse coverage) hinder physical sensing's effectiveness in critical scenarios such as disaster response. ...
between privacy and sensing quality for an optimized SPS system. ...
arXiv:2104.01360v1
fatcat:b6sag5objzhezcfhscb3ctf2ca
Enabling Strong Privacy Preservation and Accurate Task Allocation for Mobile Crowdsensing
[article]
2018
arXiv
pre-print
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In this paper, we propose SPOON, a strong privacy-preserving mobile crowdsensing scheme supporting accurate task allocation from geographic information and credit points of mobile users. ...
Therefore, how to resolve the contradiction between user privacy and task allocation is challenging in mobile crowdsensing. ...
component in mobile crowdsensing to ensure the quality of sensing results. ...
arXiv:1806.04057v1
fatcat:s5bsackfzray5lffyhcqchyfw4
Guest Editorial: Introduction to the Special Section on Edge Computing for Internet of Things
2020
IEEE Transactions on Network Science and Engineering
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., in "Privacy on the Edge: Customizable Privacy-Preserving Context Sharing in Hierarchical Edge Computing," present a dynamic customizable privacy-preserving model to obtain the optimized trade-off between ...
In "A Privacy Preservation Based scheme for Task Assignment in Internet of Things," Dai et al. develop a trustable framework for mobile crowd sensing, which effectively preserves the location privacy of ...
doi:10.1109/tnse.2020.3032176
fatcat:s3qbr7ns6naftm3yimvz4yxjci
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