Analyzing Next-Generation Encryption Protocols for Drone-Generated Traffic Data in 5G-Driven Smart Grids

Abstract

Drone-generated traffic data in 5G-driven smart grids demands high-security measures to maintain data confidentiality and system integrity. Rapid improvements in network speed and latency underscore the need for advanced encryption protocols that can handle dynamic conditions without compromising throughput. Streamlined data flows between drones and centralized control mechanisms require techniques that preserve privacy and accuracy during real-time analytics. Traditional ciphers exhibit limitations in handling the sheer volume and variety of incoming drone data, leading to performance bottlenecks and potential vulnerabilities. Ongoing research explores lattice-based cryptography and lightweight encryption algorithms to mitigate these challenges, targeting minimal overhead while retaining robust defensive capabilities. Emphasis is placed on integrating secure key management schemes that function reliably under frequent handovers in 5G environments, ensuring uninterrupted connectivity for drones and grid systems. Hardware acceleration, including field-programmable gate arrays, can further augment encryption efficiency. This paper investigates the performance trade-offs, algorithmic complexities, and security implications associated with deploying next-generation encryption protocols for drone-generated traffic in 5G-based smart grid architectures. Novelty lies in combining insights from cryptographic design, 5G network engineering, and drone communication strategies to devise comprehensive frameworks for safeguarding sensitive energy and flight information. Findings underscore the necessity of efficient encryption solutions tailored to 5G-based grids to maintain operational excellence and trustworthiness.