An Effective Deep Learning Based Scheme for Network Intrusion Detection

Computer Science

• Autoencoder 50%
• Computing Power 50%
• de-noising 50%
• Deep Learning 100%
• Deep Learning Technique 50%
• Detection Performance 50%
• Evaluation Criterion 50%
• Feature Selection 100%
• high speed network 50%
• Intrusion Detection 100%
• Intrusion Detection System 50%
• Multilayer Perceptron 50%
• network intrusion detection 100%
• Network Operation 50%
• Network Service 50%
• Power Requirement 50%
• Strategic Selection 50%
• Superior Performance 50%

Keyphrases

• Computing Power 33%
• Deep Learning Methods 100%
• Denoising Autoencoder 33%
• Detection Performance 33%
• Effective Network 33%
• Evaluation Criteria 33%
• Feature Dimension 33%
• Feature Selection 66%
• High-speed Networks 33%
• Intrusion Detection 100%
• Intrusion Detection System 66%
• Low Memory 33%
• Memory Power 33%
• Multilayer Perceptron 33%
• Network Intrusion Detection 100%
• Network Operation 33%
• Network Services 33%
• Power Requirement 33%
• Promising Solutions 33%
• Reduced Set 33%
• Selection Intensity 33%
• Small Features 33%
• Strategic Selection 33%
• Superior Performance 33%
• Weighted Loss Function 33%