DDRM: Distributed Drone Reputation Management for Trust and Reliability in Crowdsourced Drone Services

Akram, J; Anaissi, A

DDRM: Distributed Drone Reputation Management for Trust and Reliability 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. 921-931
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	2025-01-28T09:05:32Z
dc.date.available	2025-01-28T09:05:32Z
dc.date.issued	2024-01-01
dc.identifier.citation	Proceedings of the IEEE International Conference on Web Services, ICWS, 2024, 00, pp. 921-931
dc.identifier.issn	2836-3876
dc.identifier.issn	2836-3868
dc.identifier.uri	http://hdl.handle.net/10453/184513
dc.description.abstract	This study introduces the Distributed Drone Reputation Management (DDRM) framework, designed to fortify trust and authenticity within the Internet of Drone Things (IoDT) ecosystem. As drones increasingly play a pivotal role across diverse sectors, integrating crowdsourced drone services within the IoDT has emerged as a vital avenue for democratizing access to these services. A critical challenge, however, lies in ensuring the authenticity and reliability of drone service reviews. Leveraging the Ethereum blockchain, DDRM addresses this challenge by instituting a verifiable and transparent review mechanism. The framework innovates with a dual-token system, comprising the Service Review Authorization Token (SRAT) for facilitating review authorization and the Drone Reputation Enhancement Token (DRET) for rewarding and recognizing drones demonstrating consistent reliability. Comprehensive analysis within this paper showcases DDRM's resilience against various reputation frauds and underscores its operational effectiveness, particularly in enhancing the efficiency and reliability of 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/ICWS62655.2024.00110
dc.rights	info:eu-repo/semantics/openAccess
dc.title	DDRM: Distributed Drone Reputation Management for Trust and Reliability 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	2025-01-28T09:05:31Z
pubs.finish-date	2024-07-13
pubs.publication-status	Published
pubs.start-date	2024-07-07
pubs.volume	00

Abstract:

This study introduces the Distributed Drone Reputation Management (DDRM) framework, designed to fortify trust and authenticity within the Internet of Drone Things (IoDT) ecosystem. As drones increasingly play a pivotal role across diverse sectors, integrating crowdsourced drone services within the IoDT has emerged as a vital avenue for democratizing access to these services. A critical challenge, however, lies in ensuring the authenticity and reliability of drone service reviews. Leveraging the Ethereum blockchain, DDRM addresses this challenge by instituting a verifiable and transparent review mechanism. The framework innovates with a dual-token system, comprising the Service Review Authorization Token (SRAT) for facilitating review authorization and the Drone Reputation Enhancement Token (DRET) for rewarding and recognizing drones demonstrating consistent reliability. Comprehensive analysis within this paper showcases DDRM's resilience against various reputation frauds and underscores its operational effectiveness, particularly in enhancing the efficiency and reliability of drone services.

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http://hdl.handle.net/10453/184513