Blockchain-Based Model for Secure and Fair Data Provision in Crowdsourced Drone Services

Akram, J; Akram, A; Sharma, V; Anaissi, A; Jhaveri, RH; Verma, P

Blockchain-Based Model for Secure and Fair Data Provision in Crowdsourced Drone Services

Akram, J Akram, A Sharma, V Anaissi, A

Jhaveri, RH Verma, P

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Publisher:: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Publication Type:: Journal Article
Citation:: IEEE Open Journal of the Communications Society, 2025, 6, (99), pp. 5221-5234
Issue Date:: 2025-01-01

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Field	Value	Language
dc.contributor.author	Akram, J
dc.contributor.author	Akram, A
dc.contributor.author	Sharma, V
dc.contributor.author	Anaissi, A https://orcid.org/0000-0002-8864-0314
dc.contributor.author	Jhaveri, RH
dc.contributor.author	Verma, P
dc.date.accessioned	2025-07-31T05:29:57Z
dc.date.available	2025-07-31T05:29:57Z
dc.date.issued	2025-01-01
dc.identifier.citation	IEEE Open Journal of the Communications Society, 2025, 6, (99), pp. 5221-5234
dc.identifier.issn	2644-125X
dc.identifier.issn	2644-125X
dc.identifier.uri	http://hdl.handle.net/10453/188939
dc.description.abstract	Current centralized systems for crowdsourced drone services face problems in maintaining data integrity, fairness in data exchanges, and efficient resource allocation. These issues are critical in applications such as bushfire management, where accurate and timely data are essential. In response, we propose a blockchain-based model that creates a decentralized marketplace for secure data provisioning. In this system, drone operators send real-time environmental data to bushfire management authorities, and the data are recorded on a blockchain to ensure traceability. The model includes a time commitment-based mutually verifiable fairness mechanism to prevent dishonest behavior and to ensure that both data providers and consumers follow the agreed terms. Two new consensus mechanisms, Proof-of-Data Integrity (PoDI) and Proof-of-Service (PoSv), are introduced to confirm data authenticity and service quality. Additionally, a dynamic trust model that combines direct and indirect trust metrics is implemented to further support system reliability. Ethereum smart contracts are used to automate secure payment processing and to enforce transaction rules. This approach addresses the shortcomings of current systems and provides a clear framework for secure and fair data management in emergency response scenarios.
dc.language	English
dc.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.relation.ispartof	IEEE Open Journal of the Communications Society
dc.relation.isbasedon	10.1109/OJCOMS.2025.3575463
dc.rights	info:eu-repo/semantics/openAccess
dc.subject.classification	4006 Communications engineering
dc.title	Blockchain-Based Model for Secure and Fair Data Provision in Crowdsourced Drone Services
dc.type	Journal Article
utslib.citation.volume	6
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.rights.license	This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/
dc.date.updated	2025-07-31T05:29:56Z
pubs.issue	99
pubs.publication-status	Published
pubs.volume	6
utslib.citation.issue	99

Abstract:

Current centralized systems for crowdsourced drone services face problems in maintaining data integrity, fairness in data exchanges, and efficient resource allocation. These issues are critical in applications such as bushfire management, where accurate and timely data are essential. In response, we propose a blockchain-based model that creates a decentralized marketplace for secure data provisioning. In this system, drone operators send real-time environmental data to bushfire management authorities, and the data are recorded on a blockchain to ensure traceability. The model includes a time commitment-based mutually verifiable fairness mechanism to prevent dishonest behavior and to ensure that both data providers and consumers follow the agreed terms. Two new consensus mechanisms, Proof-of-Data Integrity (PoDI) and Proof-of-Service (PoSv), are introduced to confirm data authenticity and service quality. Additionally, a dynamic trust model that combines direct and indirect trust metrics is implemented to further support system reliability. Ethereum smart contracts are used to automate secure payment processing and to enforce transaction rules. This approach addresses the shortcomings of current systems and provides a clear framework for secure and fair data management in emergency response scenarios.

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http://hdl.handle.net/10453/188939