Tsetlin Machine IDS detects IoMT cyberattacks at 99.5% binary and 90.7% multi-class accuracy on CICIoMT-2024, outperforming traditional ML with added interpretability via class-wise votes and activation heatmaps.
Signature-based Intrusion Detection System for IoT
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Tsetlin Machine IDS reaches 97.83% macro F1 on MedSec-25 dataset for IoMT attack detection, with on-device Raspberry Pi deployment and feature-level interpretability.
citing papers explorer
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A Tsetlin Machine-driven Intrusion Detection System for Next-Generation IoMT Security
Tsetlin Machine IDS detects IoMT cyberattacks at 99.5% binary and 90.7% multi-class accuracy on CICIoMT-2024, outperforming traditional ML with added interpretability via class-wise votes and activation heatmaps.
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On-Device Interpretable Tsetlin Machine-Based Intrusion Detection for Secure IoMT
Tsetlin Machine IDS reaches 97.83% macro F1 on MedSec-25 dataset for IoMT attack detection, with on-device Raspberry Pi deployment and feature-level interpretability.