Anomaly Detection in Encrypted Internet Traffic Using Hybrid Deep Learning

Keyphrases

• Anomaly Detection 100%
• Encrypted Traffic 100%
• Hybrid Deep Learning 100%
• Convolutional 75%
• Deep Learning Model 50%
• Gated Recurrent Unit 50%
• Popular 25%
• Deep Learning 25%
• Classification Accuracy 25%
• Hybrid Method 25%
• Classification Methods 25%
• Best Model 25%
• Internet Applications 25%
• Training Data 25%
• Feature Extraction 25%
• Latency 25%
• Recurrent Neural Network 25%
• Hybrid Mixtures 25%
• Cyber Threats 25%
• Application Service 25%
• Traffic Classification 25%
• Consumer Privacy 25%
• UNSW-NB15 25%
• CICIDS2017 25%
• Feature Derivation 25%
• Enhanced Training 25%
• NSL-KDD 25%
• Memory Neural Network 25%
• Gated Recurrent Unit Model 25%

Computer Science

• Anomaly Detection 100%
• Deep Learning Method 100%
• Internet Traffic 100%
• Gated Recurrent Unit 100%
• Classification Accuracy 33%
• Hybrid Approach 33%
• Network Traffic 33%
• Feature Extraction 33%
• Classification Technique 33%
• Recurrent Neural Network 33%
• Training Dataset 33%
• Internet Application 33%
• Deep Learning Model 33%
• Traffic Classification 33%
• Existing Traffic 33%
• Related Feature 33%
• Application Service 33%