Lightweight ML models enable 99% accurate intrusion detection on memory-limited IoT microcontrollers using decision trees and neural networks.
A lightweight anomaly detection technique for low-resource iot devices: A game-theoretic methodology,
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Empowering IoT Security: On-Device Intrusion Detection in Resource Constrained Devices
Lightweight ML models enable 99% accurate intrusion detection on memory-limited IoT microcontrollers using decision trees and neural networks.