College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia.
School of Computer Science, University of Oklahoma, Norman, OK, USA.
Comput Intell Neurosci. 2022 Aug 31;2022:4723124. doi: 10.1155/2022/4723124. eCollection 2022.
Internet of Things (IoT)-inspired drone environment is having a greater influence on daily lives in the form of drone-based smart electricity monitoring, traffic routing, and personal healthcare. However, communication between drones and ground control systems must be protected to avoid potential vulnerabilities and improve coordination among scattered UAVs in the IoT context. In the current paper, a distributed UAV scheme is proposed that uses blockchain technology and a network topology similar to the IoT and cloud server to secure communications during data collection and transmission and reduce the likelihood of attack by maliciously manipulated UAVs. As an alternative to relying on a traditional blockchain approach, a unique, safe, and lightweight blockchain architecture is proposed that reduces computing and storage requirements while keeping privacy and security advantages. In addition, a unique reputation-based consensus protocol is built to assure the dependability of the decentralized network. Numerous types of transactions are established to characterize diverse data access. To validate the presented blockchain-based distributed system, performance evaluations are conducted to estimate the statistical effectiveness in the form of temporal delay, packet flow efficacy, precision, specificity, sensitivity, and security efficiency.
物联网（IoT）启发的无人机环境正以基于无人机的智能电力监控、交通路由和个人医疗保健的形式对日常生活产生更大的影响。然而，为了避免潜在的漏洞并提高物联网环境中分散的无人机之间的协调性，必须保护无人机与地面控制系统之间的通信。在当前的论文中，提出了一种分布式无人机方案，该方案使用区块链技术和类似于物联网和云服务器的网络拓扑结构，在数据收集和传输过程中保护通信，并降低恶意操纵的无人机攻击的可能性。作为对传统区块链方法的替代，提出了一种独特、安全和轻量级的区块链架构，在保持隐私和安全优势的同时降低了计算和存储要求。此外，还构建了一种基于声誉的独特共识协议，以确保去中心化网络的可靠性。建立了多种类型的交易来描述不同的数据访问。为了验证基于区块链的分布式系统，进行了性能评估，以通过时间延迟、数据包流效率、精度、特异性、敏感性和安全效率的形式估计统计有效性。
