Researchers at Lingnan University in Hong Kong have developed a framework to protect user privacy when using drones for deliveries, addressing growing concerns about the security of biometric data collected during these transactions. The system, detailed in a paper presented at the 2024 IEEE International Conference on Pervasive Computing and Communications Workshops, utilizes differential privacy and diffusion models to secure face recognition and identity authentication.
The increasing adoption of Unmanned Aerial Vehicles (UAVs) for logistics necessitates robust identity verification and delivery security measures. Biometric data – including fingerprints, facial scans, and iris recognition – is particularly sensitive, and its potential misuse poses significant privacy risks, according to the research team led by Aiting Yao. The framework aims to balance the demand for accurate user identification with the imperative to safeguard personal information.
The proposed system employs edge computing, processing data closer to the source – in this case, the drone and receiving location – rather than relying solely on centralized servers. During delivery, the UAV collects a user’s biometric data via edge computing nodes. A diffusion model is then used to securely transmit this data, protecting user privacy. Upon arrival, an edge computing node at the delivery destination performs face recognition to confirm the recipient’s identity, ensuring only authorized individuals receive the package.
The research builds on previous work exploring secure delivery systems. In 2021, researchers including Chengzu Dong proposed a blockchain-aided self-sovereign identity framework for UAV delivery, also focusing on secure authentication. Further studies by Yao and colleagues in 2024 explored privacy-preserving location data collection using federated learning for intelligent systems, and in 2025, a framework called FedShufde was developed for privacy-preserving federated learning specifically for smart UAV delivery systems. These efforts reflect a broader trend toward integrating privacy-enhancing technologies into UAV logistics.
The development of this framework comes as the field of pervasive computing continues to advance, integrating wireless networking, mobile computing, and sensor systems. The IEEE International Conference on Pervasive Computing and Communications, held annually, serves as a key venue for researchers to present their latest findings in this area. The 2024 conference, held in Biarritz, France, focused on the intersection of these technologies and their real-world applications.
Alongside biometric authentication, researchers are also investigating blockchain technology to enhance security and transparency in UAV delivery systems. Studies have explored the use of blockchain for task distribution, as well as for creating secure data sharing systems. Researchers are also looking at the use of blockchain to improve access control for IoT devices used in delivery networks, and to optimize storage of data collected by these devices.
The IEEE, the world’s largest technical professional organization, will hold its next International Conference on Pervasive Computing and Communications in 2025. The organization has stated that remote presentations will only be allowed under exceptional circumstances, prioritizing in-person attendance.