A Tsetlin Machine-based intrusion detection system for IoMT networks that runs on-device, provides explicit explanations via logic rules and heatmaps, and reaches 97.83% accuracy on MedSec-25 while outperforming other ML methods.
Alpaydin,Introduction to Machine Learning
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.CR 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
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.
citing papers explorer
-
On-Device Interpretable Tsetlin Machine-Based Intrusion Detection for Secure IoMT
A Tsetlin Machine-based intrusion detection system for IoMT networks that runs on-device, provides explicit explanations via logic rules and heatmaps, and reaches 97.83% accuracy on MedSec-25 while outperforming other ML methods.
-
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.