An Efficient and Privacy Preserved Session Sharing for Unmanned Aerial Vehicle Communication Using Lattice Based Ring Signature Scheme

Unmanned Aerial Vehicle (UAV) is playing an important role in various and diverse applications. UAV networks are designed with the support of efficient communication, secure, and privacy-preserved data exchange particularly for sensitive and mission-critical applications, like defensive surveillance, disaster response, civilian support, and smart city infrastructure. This paper presents an efficient and novel approach for establishing a secure session sharing in UAV networks through a Lattice-based Ring Signature Scheme (LRS). This paper presents a secure and privacy-preserved authentication scheme for large-scale UAV connection network using an Lattice-based Ring Signature Scheme. This technique offers a scalable and efficient solution for drone communication network. The proposed architecture incorporates a layered approach for establishing a strong connection between UAV devices and ground stations for ensuring streamlined data collection and processing. The proposed method has been designed with a strong ring signature scheme based on lattice cryptography. This technique is guaranty to achieve anonymity and authenticity by enabling any drone to sign data without exposing the signer's identity, thereby protecting device privacy. Ground controlling station and UAV operators can verified by using these signatures. The security analysis for the proposed ring signature scheme has been conducted through formal security analysis and this security analysis shows that the proposed scheme resilient to various attacks. The formal security analysis has been conducted by using formal security analysis with the help of game theory concepts by using correctness analysis, unforgeability, and unconditional anonymity. Performance analysis for the proposed technique has been conducted by using execution time analysis making it well-suited for resource-constrained devices, like UAV or Drones, supporting both scalability and security in real-world healthcare scenarios.