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

Fuente: arXiv
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Auteur principal: Hidawi, Khaoula
Format: Preprint
Publié: 2024
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author Hidawi, Khaoula
author_facet Hidawi, Khaoula
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2409_06507
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle DroneXNFT: An NFT-Driven Framework for Secure Autonomous UAV Operations and Flight Data Management
Hidawi, Khaoula
Cryptography and Security
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.
title DroneXNFT: An NFT-Driven Framework for Secure Autonomous UAV Operations and Flight Data Management
topic Cryptography and Security
url https://arxiv.org/abs/2409.06507