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                <text>Faculty Publications</text>
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              <text>Akram, Junaid; Akram, Awais; Sharma, Vandana; Anaissi, Ali; Jhaveri, Rutvij H.; Verma, Priyanka</text>
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              <text>Blockchain-Based Model for Secure and Fair Data Provision in Crowdsourced Drone Services</text>
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              <text>01-01-2025</text>
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              <text>IEEE Open Journal of the Communications Society;Volume;6;pp.5221-5234</text>
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              <text>&lt;a href="https://doi.org/10.1109/OJCOMS.2025.3575463" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/OJCOMS.2025.3575463&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105007501727?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105007501727?origin=resultslist&lt;/a&gt;</text>
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              <text>Akram J., UNSW College, Engineering and Technology Department, Kensington, 2033, NSW, Australia, The University of Sydney, School of Computer Science, Camperdown, 2008, NSW, Australia; Akram A., Korea Advanced Institute of Science and Technology, School of Computing, Daejeon, 34141, South Korea; Sharma V., Christ University, Computer Science Department, Bengaluru, 560029, India; Anaissi A., The University of Sydney, School of Computer Science, Camperdown, 2008, NSW, Australia; Jhaveri R.H., Pandit Deendayal Energy University, School of Technology, Department of Computer Science and Engineering, Gandhinagar, 382009, India; Verma P., University of Galway, School of Computer Science, Galway, H91 TK33, Ireland</text>
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              <text>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.  2020 IEEE.</text>
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              <text>access control; bushfire management; Crowdsourced drone services; interoperability; verifiable credentials</text>
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          <name>Publisher</name>
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              <text>Institute of Electrical and Electronics Engineers Inc.</text>
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              <text>ISSN: 2644125X;</text>
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              <text>All Open Access; Gold Open Access; Green Open Access</text>
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