Using VPNS and RIS to ensure communication security in dynamic UAV swarm networks: integration paths, resource allocation, and simulation results

Ruslan Demura

Abstract


The subject of this paper is the integration of virtual private networks (VPN) and Reconfigurable Intelligent Surfaces (RIS) technologies into swarm systems of unmanned aerial vehicles (UAVs). The goal is to investigate the possibilities of improving the performance and security of UAV swarm systems using VPNs for data encryption and protection, as well as RIS for optimizing signal routing in complex environments. The tasks to be solved are: to analyze existing approaches to ensure the security and performance of networks in UAV swarm systems, evaluating the effectiveness of VPN and RIS integration in various swarm scenarios, such as urban environments with high building density, open spaces, and complex multi-level environments, and conducting simulation studies to compare the performance and security of UAV swarm systems with and without VPN and RIS. The methods used are modeling and simulation of network and communication systems using NS-3 (Network Simulator 3). The simulation includes various scenarios of UAV swarm systems, which allows us to compare the impact of VPN and RIS on communication efficiency. The following results were obtained: the integration of VPN and RIS into UAV swarm systems can significantly improve network performance, reduce signal delays, increase energy efficiency, and ensure a high level of data security. Simulation studies have demonstrated that VPN provides reliable data protection and reduces the risk of interception, while RIS optimizes signal transmission in complex environments, improving the overall swarm efficiency. Conclusions. The results demonstrate that the integration of VPNs and RIS into UAV swarm systems is a promising approach to ensure the security and efficiency of communications in a dynamic environment. The results indicate the need for further research to improve these technologies, particularly in the field of adaptation to new threats and energy efficiency.

Keywords


unmanned aerial vehicles; swarm systems; virtual private networks; reconfigurable intelligent surfaces; network security; signal optimization

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DOI: https://doi.org/10.32620/aktt.2024.4.11