Crowd-sensing has emerged as a powerful data retrieval model, enabling diverse applications by leveraging active user participation. However, data availability and privacy concerns pose significant challenges. Traditional methods like data encryption and anonymization, while essential, may not fully address these issues. For instance, in sparsely populated areas, anonymized data can still be traced back to individual users. Additionally, the volume of data generated by users can reveal their identities. To develop credible crowd-sensing systems, data must be anonymized, aggregated and separated into uniformly sized chunks. Furthermore, decentralizing the data management process, rather than relying on a single server, can enhance security and trust. This paper proposes a system utilizing smart contracts and blockchain technologies to manage crowd-sensing campaigns. The smart contract handles user subscriptions, data encryption, and decentralized storage, creating a secure data marketplace. Incentive policies within the smart contract encourage user participation and data diversity. Simulation results confirm the system's viability, highlighting the importance of user participation for data credibility and the impact of geographical data scarcity on rewards. This approach aims to balance data origin and reduce cheating risks.

Smart Contract Coordinated Privacy Preserving Crowd-Sensing Campaigns / Bedogni, L.; Ferretti, S.. - (2025), pp. 1-4. ( 22nd IEEE Consumer Communications and Networking Conference, CCNC 2025 usa 2025) [10.1109/CCNC54725.2025.10975874].

Smart Contract Coordinated Privacy Preserving Crowd-Sensing Campaigns

Bedogni L.;
2025

Abstract

Crowd-sensing has emerged as a powerful data retrieval model, enabling diverse applications by leveraging active user participation. However, data availability and privacy concerns pose significant challenges. Traditional methods like data encryption and anonymization, while essential, may not fully address these issues. For instance, in sparsely populated areas, anonymized data can still be traced back to individual users. Additionally, the volume of data generated by users can reveal their identities. To develop credible crowd-sensing systems, data must be anonymized, aggregated and separated into uniformly sized chunks. Furthermore, decentralizing the data management process, rather than relying on a single server, can enhance security and trust. This paper proposes a system utilizing smart contracts and blockchain technologies to manage crowd-sensing campaigns. The smart contract handles user subscriptions, data encryption, and decentralized storage, creating a secure data marketplace. Incentive policies within the smart contract encourage user participation and data diversity. Simulation results confirm the system's viability, highlighting the importance of user participation for data credibility and the impact of geographical data scarcity on rewards. This approach aims to balance data origin and reduce cheating risks.
2025
no
Inglese
22nd IEEE Consumer Communications and Networking Conference, CCNC 2025
usa
2025
Proceedings - IEEE Consumer Communications and Networking Conference, CCNC
1
4
Institute of Electrical and Electronics Engineers Inc.
345 E 47TH ST, NEW YORK, NY 10017 USA
Blockchain; Crowdsensing; Smart Contracts
Goal 3: Good health and well-being
Goal 11: Sustainable cities and communities
Bedogni, L.; Ferretti, S.
Atti di CONVEGNO::Relazione in Atti di Convegno
273
2
Smart Contract Coordinated Privacy Preserving Crowd-Sensing Campaigns / Bedogni, L.; Ferretti, S.. - (2025), pp. 1-4. ( 22nd IEEE Consumer Communications and Networking Conference, CCNC 2025 usa 2025) [10.1109/CCNC54725.2025.10975874].
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info:eu-repo/semantics/conferenceObject
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1393874
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