A review of CubeSat intrusion detection challenges identifies gaps in current methods and positions TinyML as a resource-efficient solution while outlining future research directions.
Toward on-board detection of anomalous events from OPS-SAT telemetry using deep learning,
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Towards Resilient Intrusion Detection in CubeSats: Challenges, TinyML Solutions, and Future Directions
A review of CubeSat intrusion detection challenges identifies gaps in current methods and positions TinyML as a resource-efficient solution while outlining future research directions.