DDRM: Distributed Drone Reputation Management for Trust and Reliability in Crowdsourced Drone Services
Junaid Akram, Ali Anaissi
TL;DR
DDRM tackles the trust problem in crowdsourced drone services within the IoDT by leveraging Ethereum blockchain, a dual-token scheme (SRAT for review authorization and DRET for rewarding reliable drones), and a P2P endorsers network to verify reviews. It integrates service procurement with a transparent review process, funds reviews through SRATs, and enforces review integrity via endorsements and refunds evaluation, all while protecting participant privacy with blockchain addresses. The work provides adversary-model analysis, gas-cost and smart-contract security assessments, and a prototype deployment on test networks, demonstrating practical feasibility and resilience against common reputation attacks. Overall, DDRM aims to significantly improve the reliability and efficiency of bushfire management data by ensuring authentic, verifiable drone service reviews in a decentralized IoDT marketplace.
Abstract
This study introduces the Distributed Drone Reputation Management (DDRM) framework, designed to fortify trust and authenticity within the Internet of Drone Things (IoDT) ecosystem. As drones increasingly play a pivotal role across diverse sectors, integrating crowdsourced drone services within the IoDT has emerged as a vital avenue for democratizing access to these services. A critical challenge, however, lies in ensuring the authenticity and reliability of drone service reviews. Leveraging the Ethereum blockchain, DDRM addresses this challenge by instituting a verifiable and transparent review mechanism. The framework innovates with a dual-token system, comprising the Service Review Authorization Token (SRAT) for facilitating review authorization and the Drone Reputation Enhancement Token (DRET) for rewarding and recognizing drones demonstrating consistent reliability. Comprehensive analysis within this paper showcases DDRM's resilience against various reputation frauds and underscores its operational effectiveness, particularly in enhancing the efficiency and reliability of drone services.