Privacy-First Crowdsourcing: Blockchain and Local Differential Privacy in Crowdsourced Drone Services

Akram, J; Anaissi, A

Privacy-First Crowdsourcing: Blockchain and Local Differential Privacy in Crowdsourced Drone Services

Akram, J Anaissi, A

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Publisher:: Institute of Electrical and Electronics Engineers (IEEE)
Publication Type:: Conference Proceeding
Citation:: Proceedings of the IEEE International Conference on Web Services, ICWS, 2024, 00, pp. 1412-1414
Issue Date:: 2024-01-01

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Field	Value	Language
dc.contributor.author	Akram, J
dc.contributor.author	Anaissi, A https://orcid.org/0000-0002-8864-0314
dc.date	2024-07-07
dc.date.accessioned	2025-01-28T09:04:36Z
dc.date.available	2025-01-28T09:04:36Z
dc.date.issued	2024-01-01
dc.identifier.citation	Proceedings of the IEEE International Conference on Web Services, ICWS, 2024, 00, pp. 1412-1414
dc.identifier.issn	2836-3876
dc.identifier.issn	2836-3868
dc.identifier.uri	http://hdl.handle.net/10453/184511
dc.description.abstract	We introduce a privacy-preserving framework for integrating consumer-grade drones into bushfire management. This system creates a marketplace where bushfire management authorities obtain essential data from drone operators. Key features include local differential privacy to protect data providers and a blockchain-based solution ensuring fair data exchanges and accountability. The framework is validated through a proof-of-concept implementation, demonstrating its scalability and potential for various large-scale data collection scenarios. This approach addresses privacy concerns and compliance with regulations like Australia's Privacy Act 1988, offering a practical solution for enhancing bushfire detection and management through crowdsourced drone services.
dc.language	en
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof	Proceedings of the IEEE International Conference on Web Services, ICWS
dc.relation.ispartof	2024 IEEE International Conference on Web Services (ICWS)
dc.relation.isbasedon	10.1109/ICWS62655.2024.10744606
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Privacy-First Crowdsourcing: Blockchain and Local Differential Privacy in Crowdsourced Drone Services
dc.type	Conference Proceeding
utslib.citation.volume	00
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Provost
pubs.organisational-group	University of Technology Sydney/Provost/TD School
utslib.copyright.status	open_access	*
dc.date.updated	2025-01-28T09:04:35Z
pubs.finish-date	2024-07-13
pubs.publication-status	Published
pubs.start-date	2024-07-07
pubs.volume	00

Abstract:

We introduce a privacy-preserving framework for integrating consumer-grade drones into bushfire management. This system creates a marketplace where bushfire management authorities obtain essential data from drone operators. Key features include local differential privacy to protect data providers and a blockchain-based solution ensuring fair data exchanges and accountability. The framework is validated through a proof-of-concept implementation, demonstrating its scalability and potential for various large-scale data collection scenarios. This approach addresses privacy concerns and compliance with regulations like Australia's Privacy Act 1988, offering a practical solution for enhancing bushfire detection and management through crowdsourced drone services.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/184511