Centralized vs. Decentralized Security for Space AI Systems? A New Look
It addresses security management for space AI systems, focusing on satellite constellations, but is incremental as it compares existing architectures without introducing new methods.
This paper investigates the trade-off between centralized and decentralized security management in satellite constellations to balance security and performance, finding that centralized architectures are best short-term for fast training despite latency, while decentralized ones are better long-term for scalability and security.
This paper investigates the trade-off between centralized and decentralized security management in constellations of satellites to balance security and performance. We highlight three key AI architectures for automated security management: (a) centralized, (b) distributed and (c) federated. The centralized architecture is the best option short term, providing fast training, despite the hard challenge of the communication latency overhead across space. Decentralized architectures are better alternatives in the longer term, providing enhanced scalability and security.