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This research aims to design a novel hybrid intrusion detection system for IoT applications.

December 9, 2025Scientific ReportsOpen Access

A hybrid BiLSTM-CNN approach for intrusion detection for IoT applications

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Hybrid model improves intrusion detection accuracy in IoT networks, indicating enhanced security measures are essential.

This research aims to design a novel hybrid intrusion detection system for IoT applications.
Developed a hybrid Bi-LSTM-CNN model for anomaly-based intrusion detection.
Utilized the UNSW-NB15 dataset for evaluation.
Assessed model performance on GPU and CPU using various metrics.
The hybrid model outperformed BiLSTM and CNN in all tested metrics for binary classification.
Achieved improved Precision, False Positive Rate, and Matthews Correlation Coefficient compared to state-of-the-art models.

Sadhwani et al. (2025) studied this question.

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December 9, 2025Scientific ReportsOpen Access

View Full Paper

Ask AI

Bookmark

Authors

Hybrid model improves intrusion detection accuracy in IoT networks, indicating enhanced security measures are essential.

This research aims to design a novel hybrid intrusion detection system for IoT applications.
Developed a hybrid Bi-LSTM-CNN model for anomaly-based intrusion detection.
Utilized the UNSW-NB15 dataset for evaluation.
Assessed model performance on GPU and CPU using various metrics.
The hybrid model outperformed BiLSTM and CNN in all tested metrics for binary classification.
Achieved improved Precision, False Positive Rate, and Matthews Correlation Coefficient compared to state-of-the-art models.

Sadhwani et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark