Using the Raft algorithm to coordinate interceptor drones in a UAV detection and neutralization system

This article explores the use of the Raft consensus algorithm to coordinate interceptor drones in systems designed to detect and neutralize unmanned aerial vehicles (UAVs). The modified Raft algorithm has enabled stable and synchronized drone actions, allowing for autonomous target interception. Modeling and simulation confirmed the system’s fault tolerance and real-time coordination capabilities. In scenarios involving partial communication failures or drone loss, the system has successfully maintained consensus and continued operation. The proposed architecture has used the Rust programming language to ensure memory safety and concurrency management. The results have provided the effectiveness of using Raft in distributed UAV defense systems, while offering advantages such as leader re-election, log replication, and secure communication channels. The paper also discusses cryptographic enhancements and system resilience to potential cyber threats. This research confirms the applicability of the Raft algorithm for UAV interceptor swarms and gives a foundation for further improvements in autonomous defense systems.