Intelligent UAV-based monitoring systems are becoming an essential apparatus for crowd monitoring as they have proven to be viable and cost-effective solutions. Applications of such systems may include detecting antisocial and abnormal behavior among a crowd to ensure public safety and security, especially during periods of pandemic or social unrest when technology is aimed at replacing the human factor to ensure scalability and reduce risk. On the other hand, the modern architectures of autonomous UAV-based systems requires processing the captured information at the edge and cloud facilities, which requires transmission and/or retransmission of the captured data. This vulnerability of data security during transmission may compromise the benefits of the technology. Therefore, there is need for an effective strategy to achieve a secure architecture that takes into consideration the limited computing capabilities onboard the UAV agents and the distributed nature of the system. Blockchain, as a distributed network technology, will provide a safe, transparent, and efficient network system for UAV systems. Therefore, this article proposes a drone-swarm-aided distributed monitoring system in a blockchain-powered network. In the proposed monitoring mechanism, the security protocol and encryption algorithm are applied to ensure the security of each stage of the system, so as to realize the cooperative drone swarm to reliably perform monitoring tasks. The blockchain technology is introduced to achieve tamper-proof monitoring log recording and support group decision making of monitoring transactions.

中文翻译：

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使用无人机群的基于区块链的安全人群监控系统


基于智能无人机的监控系统正在成为人群监控的重要设备，因为它们已被证明是可行且具有成本效益的解决方案。此类系统的应用可能包括检测人群中的反社会和异常行为，以确保公共安全，特别是在大流行或社会动荡期间，技术旨在取代人为因素以确保可扩展性并降低风险。另一方面，基于自主无人机的系统的现代架构需要在边缘和云设施处处理捕获的信息，这需要传输和/或重新传输捕获的数据。传输过程中的数据安全漏洞可能会损害该技术的优势。因此，需要一种有效的策略来实现安全架构，考虑到无人机代理上有限的计算能力和系统的分布式性质。区块链作为一种分布式网络技术，将为无人机系统提供安全、透明、高效的网络系统。因此，本文提出了一种在区块链驱动的网络中无人机群辅助的分布式监控系统。在所提出的监控机制中，应用安全协议和加密算法来保证系统各个阶段的安全，从而实现协作无人机群可靠地执行监控任务。引入区块链技术，实现监控日志记录防篡改，支持监控交易的群体决策。