Optimized deep autoencoder and BiLSTM for intrusion detection in IoTs-Fog computing

Computer Science

• Internet-Of-Things 100%
• Intrusion Detection 100%
• Bidirectional Long Short-Term Memory Network 100%
• Fog Computing 100%
• Deep Autoencoder 100%
• Leaning Parameter 50%
• Detection Rate 50%
• Deep Learning Method 50%
• Intrusion Detection System 50%
• Internet of Things Device 25%
• Optimization Algorithm 25%
• Detection Accuracy 25%
• Computational Time 25%
• Threat Detection 25%
• Digital Service 25%
• Network Vulnerability 25%