icsentinel-modbus-autoencoder – AI Model by alirezaaminzadeh | AlphaNeural AI

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alirezaaminzadeh/
icsentinel-modbus-autoencoder

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ICSentinel Modbus Autoencoder

PyTorch autoencoder trained on benign Modbus TCP traffic for OT/ICS anomaly detection.

Model Details

Property	Value
Architecture	Autoencoder (10 → 32 → 16 → 8 → 16 → 32 → 10)
Features	10-dim Modbus frame vector
Training frames	180 benign (normal_operations + normal_polling)
Threshold	99th percentile reconstruction error
Version	1.0.0

Intended Use

OT/ICS Modbus TCP anomaly scoring
Demo and evaluation on synthetic traffic only
Not for production OT IDS replacement without retraining on site-specific baselines

Limitations

CPU inference only in demo
Synthetic training data — retrain on local benign traffic for production
Rule-based attack classification supplements autoencoder scores

Built by Aria AI.