Air Mobility Network Resilience: An Innovative Microchained Fabric Solution with Focus on Assurance

Urban Air Mobility (UAM) represents a revolutionary shift in contemporary transportation, offering a promising solution to the ever-growing urban congestion. However, the integration of Unmanned Aerial Vehicles (UAVs) into urban environments introduces unique challenges, especially concerning data security and anomaly detection. This paper introduces two groundbreaking algorithms designed to address these challenges. Through a comprehensive analysis, we demonstrate the efficacy of these algorithms in ensuring robust data security and efficient anomaly detection within the UAM network. The proposed methods, backed by mathematical representations and real-world testing, outperform traditional methods, paving the way for a safer and more efficient UAM ecosystem.