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

2024/07/01 by Junaid Akram, Akram, Junaid, Ali Anaissi +1 · 1 citation
Computer Science · Economics, Econometrics and Finance · Engineering · #Aviation Industry Analysis and Trends #Blockchain Technology Applications and Security #Cryptography and Security (cs.CR) #Distributed #FOS: Computer and information sciences #Parallel #Transportation and Mobility Innovations #and Cluster Computing (cs.DC)

paper · pdf · doi:10.48550/arxiv.2407.00873

openalex publication_date 2024/07/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

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.

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