Detecting anomalous traffic in the controlled network based on cross entropy and support vector machine

Computer Science

• Classifier 100%
• Feature Vector 100%
• Support Vector Machine 100%
• Anomaly Detection 66%
• Network Traffic 66%
• Experimental Result 33%
• Detection Performance 33%
• Detection Rate 33%
• Malicious Attack 33%
• Traffic Characteristic 33%
• High Dimensionality 33%