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.
IoT data analytics in dynamic environments: From an automated machine learning perspective,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CR 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.