Zero Trust-NIDS: Extended Multi-View Approach for Network Trace Anonymization and Auto-Encoder CNN for Network Intrusion Detection

Keyphrases

• Abusive Behavior 25%
• Analysis Accuracy 25%
• Autoencoder 100%
• Balanced Approach 25%
• Convolutional Neural Network 25%
• Cyber Threats 25%
• Efficiency Improvement 25%
• Enterprise Network 25%
• Feature Engineering 25%
• Indistinguishability 25%
• Intrusion Detection System 25%
• Multiview Approach 100%
• Network Intrusion Detection 100%
• Network Security Monitoring 25%
• Network Trace Anonymization 100%
• Network Traces 25%
• Partitioning Method 25%
• Preserving Privacy 50%
• Security Attacks 25%
• Security Model 25%
• Security Monitoring 25%
• Work Efficiency 25%
• Zero Trust 100%
• Zero Trust Security 50%

Computer Science

• Anonymization 100%
• Convolutional Neural Network 100%
• Enterprise Network 50%
• Input Attribute 50%
• Intrusion Detection System 50%
• network intrusion detection 100%
• Network Security Monitoring 50%
• Partitioning Method 50%
• Privacy Preserving 50%
• Security Attack 50%
• Security Model 50%
• Security Monitoring 50%