DroneXNFT: An NFT-Driven Framework for Secure Autonomous UAV Operations and Flight Data Management
Khaoula Hidawi

TL;DR
This paper proposes a blockchain-based NFT framework to securely manage UAV flight data, ensuring data integrity, ownership transfer, and privacy through cryptography and smart contracts.
Contribution
It introduces a novel NFT-driven framework specifically designed for secure UAV data management, combining blockchain, cryptography, and access control.
Findings
Framework ensures tamper-proof data integrity
Enables secure ownership transfer of UAV data
Supports privacy-preserving data sharing
Abstract
Non-Fungible Tokens (NFTs) have emerged as a revolutionary method for managing digital assets, providing transparency and secure ownership records on a blockchain. In this paper, we present a theoretical framework for leveraging NFTs to manage UAV (Unmanned Aerial Vehicle) flight data. Our approach focuses on ensuring data integrity, ownership transfer, and secure data sharing among stakeholders. This framework utilizes cryptographic methods, smart contracts, and access control mechanisms to enable a tamper-proof and privacy-preserving management system for UAV flight data.
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Taxonomy
TopicsRobotic Path Planning Algorithms · Simulation Techniques and Applications · Air Traffic Management and Optimization
