Nowadays, the exponential increase in the usage of drones in various realms of societal and military applications necessitates advancements and stability in drone communication. Drones have proven their potential in providing real‐time cost‐efficient solutions for several applications like healthcare, smart grid surveillance, smart city monitoring, and border surveillance. Though it has many security and privacy issues, researchers across the globe have given numerous solutions to protect drone communication from cyber‐attacks. Most of these solutions were based on cryptographic techniques and are highly compute extensive. There exist few blockchain‐based solutions, which suffer from high transaction storage costs with communication reliability, latency, and bandwidth issues. Motivated by these facts, in this paper, we present a comprehensive survey to secure drone communication and propose a blockchain‐based secure and intelligent drone communication architecture underlying 5G communication network and artificial intelligence (AI) techniques. The proposed architecture uses an InterPlanetary File System (IPFS) as a platform for data storage, which ensures improved network performance, communication security and privacy, and reduces transaction storage cost. Further, it facilitates efficient drone communication in providing dynamic, flexible, and on‐the‐fly decisions competencies through 5G and AI technologies. Then, we incorporate a healthcare‐based case study using the proposed architecture. At last, future research challenges and directions are emphasized for improvement in this research area.

中文翻译：

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融合区块链和人工智能，以实现基于5G通信的安全无人机网络

如今，在社会和军事应用的各个领域中，无人机的使用呈指数增长，这需要在无人机通信方面取得进步并保持稳定。无人机已经证明了其潜力，可为医疗保健，智能电网监控，智能城市监控和边境监控等多种应用提供实时，经济高效的解决方案。尽管它存在许多安全和隐私问题，但全球研究人员已经提供了许多解决方案来保护无人机通信免受网络攻击。这些解决方案中的大多数都是基于加密技术的，并且计算量很大。几乎没有基于区块链的解决方案，这些解决方案因通信可靠性，延迟和带宽问题而遭受高额交易存储成本的困扰。基于这些事实，在本文中，我们对安全的无人机通信进行了全面的调查，并提出了基于区块链的5G通信网络和人工智能（AI）技术基础上的安全和智能无人机通信架构。所提出的体系结构使用行星际文件系统（IPFS）作为数据存储平台，可确保改善的网络性能，通信安全性和隐私性，并降低交易存储成本。此外，它通过5G和AI技术促进有效的无人机通信，以提供动态，灵活和即时的决策能力。然后，我们使用建议的体系结构结合基于医疗的案例研究。最后，着重指出了该领域的未来研究挑战和发展方向。