Anomaly Detection in Encrypted Internet Traffic Using Hybrid Deep Learning

Computer Science

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