23910 Building Resilient Quantum UAV Networks: Cybersecurity and AI Perspectives
R Thangamani, M. Vimaladevi, M M Ramyasri
The combination of quantum computing, unmanned aerial vehicles (UAVs), cybersecurity, and artificial intelligence (AI) ushers in a new era of safe and robust UAV networks. This chapter analyzes novel approaches that use quantum computing, AI, and cybersecurity principles to address the dynamic issues of UAV networks. Key target areas include quantum-resistant cryptographic algorithms, AI-driven threat detection and response systems, and UAV-specific secure communication protocols. These innovations reduce cyberrisks, protect data integrity, and increase the robustness of quantum-enabled UAV systems. The chapter illustrates enhanced threat detection, adaptive cybersecurity, and secure data transfer through the use of cutting-edge techniques, which raise operational effectiveness and mission success rates. With features including better data protection, reduced susceptibility to attacks, and AI-enhanced decision-making, resilient quantum UAV networks find applications in military, surveillance, disaster response, agriculture, and infrastructure monitoring. This chapter concludes by discussing the revolutionary potential of AI and quantum computing in UAV networks. It emphasizes the significance of proactive cybersecurity and AI-driven resilience in shaping the development of unmanned aerial systems, fostering innovation, and ensuring the safety of critical UAV operations.
De Gruyter eBooks•Apr 28, 2025•0 citations