Decentralized PKI Framework for Data Integrity in Spatial Crowdsourcing Drone Services

TL;DR

This paper introduces D2XChain, a blockchain-based decentralized PKI framework for spatial crowdsourcing drone services, enhancing security and reliability by removing single points of failure in traditional PKI systems.

Contribution

It presents a novel blockchain-based PKI system compatible with X.509, supporting secure, distributed certificate management for drone communications.

Findings

Successfully deployed on a private Ethereum testbed.

Strengthens security against various threats in drone services.

Ensures seamless integration with existing PKI standards.

Abstract

In the domain of spatial crowdsourcing drone services, which includes tasks like delivery, surveillance, and data collection, secure communication is paramount. The Public Key Infrastructure (PKI) ensures this by providing a system for digital certificates that authenticate the identities of entities involved, securing data and command transmissions between drones and their operators. However, the centralized trust model of traditional PKI, dependent on Certificate Authorities (CAs), presents a vulnerability due to its single point of failure, risking security breaches. To counteract this, the paper presents D2XChain, a blockchain-based PKI framework designed for the Internet of Drone Things (IoDT). By decentralizing the CA infrastructure, D2XChain eliminates this single point of failure, thereby enhancing the security and reliability of drone communications. Fully compatible with the X.509 standard, it integrates seamlessly with existing PKI systems, supporting all key operations such as certificate registration, validation, verification, and revocation in a distributed manner. This innovative approach not only strengthens the defense of drone services against various security threats but also showcases its practical application through deployment on a private Ethereum testbed, representing a significant advancement in addressing the unique security challenges of drone-based services and ensuring their trustworthy operation in critical tasks.