Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 97 - 152
Published: Feb. 28, 2025
This chapter provides a comprehensive review of deep learning-based intrusion detection systems for securing Artificial General Intelligence driven drone communications in climate change applications. We examine the evolution UAV security from basic cryptographic methods to sophisticated AI-driven approaches, with emphasis on unique requirements applications operating challenging environments. The explores foundational mechanisms before analyzing advanced DL architectures, including CNN, LSTM, hybrid and graph neural networks swarm security. discussion encompasses cutting-edge paradigms such as Zero Trust-Architecture, post-quantum-cryptography, AGI safety considerations essential autonomous systems. It concludes research agenda addressing quantum-resistant, federated learning, self-adaptive formal verification providing framework challenges at critical intersection AGI, tech,
Language: Английский