Unmanned Aerial Vehicle (UAV) has extensively been practiced in the military and civilian surveillance systems that access sensitive data over the cellular networks. However, channel insecurity and battery limitation may not protect the aerial coverage area. Thus, sensitive information gathered through aerial vehicles causes security threats. To manage the security issues, Smart Internet of Drone (S-IoD) have been evolved to use Intelligent Personal Assistant (IPA) as a software agent while monitoring and observing areas of interest. The current state-of-the-art technologies provide ubiquitous communication to enable several Internet of Things (IoT) paradigms. It achieves a feature of a decision support system that allows the smart interaction and communication between real-time entities. IPA offers smart interaction with other smart real-time entities to gain the user’s knowledge and awareness. This paper presents an S-IoD framework for a UAV environment that independently collects sensible information. In order to reduce the computation cost of the authentication protocol, a lightweight privacy-preserving scheme (L-PPS) is introduced. The proposed L-PPS is constructive to provide the robustness between the IoT devices with a valid authentication period. To demonstrate the security and performance efficiencies, the formal verification was performed using a verification tool, Scyther, and a random oracle model. In addition, the proposed L-PPS introduces a secret token and dynamic user authentication to speed up the authentication process between the communication entities. Importantly, the authentication session of L-PPS does not use any complex cryptographic operations, whereby it has less computation and communication costs to meet the standard constraints of surveillance systems. Moreover, the obtained simulation analysis proves that the proposed L-PPS achieves better quality metrics than other authentication schemes in the literature.

无人飞行器（UAV）已广泛用于通过蜂窝网络访问敏感数据的军事和民用监视系统中。但是，通道不安全和电池限制可能无法保护空中覆盖区域。因此，通过飞行器收集的敏感信息会造成安全威胁。为了管理安全问题，已经发展了无人机智能互联网（S-IoD），可以在监视和观察感兴趣的区域时使用智能个人助理（IPA）作为软件代理。当前最先进的技术可提供无处不在的通信，以支持多种物联网（IoT）范例。它实现了决策支持系统的功能，该功能允许实时实体之间进行智能交互和通信。IPA提供与其他智能实时实体的智能交互，以获取用户的知识和意识。本文提出了一种用于无人机环境的S-IoD框架，该框架可独立收集明智的信息。为了减少认证协议的计算成本，引入了轻量级的隐私保护方案（L-PPS）。提出的L-PPS具有建设性，可在IoT设备之间以有效的身份验证周期提供鲁棒性。为了演示安全性和性能效率，使用验证工具Scyther和随机oracle模型执​​行了正式验证。另外，所提出的L-PPS引入了秘密令牌和动态用户认证，以加速通信实体之间的认证过程。重要的，L-PPS的身份验证会话不使用任何复杂的加密操作，因此它具有较少的计算和通信成本，可以满足监视系统的标准约束。此外，所获得的仿真分析证明，与文献中的其他认证方案相比，所提出的L-PPS具有更好的质量指标。