Cybersecurity

Table 6 Autoencoder evaluation metrics

From: Quantized autoencoder (QAE) intrusion detection system for anomaly detection in resource-constrained IoT devices using RT-IoT2022 dataset

Dataset	Accuracy (%)	Precision (%)	Recall (%)	F1 score (%)
ThingSpeak-LED	98.98	99.10	98.98	99.10
MQTT-Temp	99.63	100	99.9	99.98
Amazon-Alexa	98.33	98.33	98.34	98.34
Wipro-Bulb	91.5	91.5	91.5	95.00
Final RT-IOT2022	98.40	98.40	98.59	99.19

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