Detecting Saturation Attacks in SDN via Machine Learning

Keyphrases

• Machine Learning 100%
• Saturation Attack 100%
• Software-defined Networking 100%
• OpenFlow 100%
• Detection Performance 60%
• Network Traffic 40%
• Attack Detection 20%
• Experiment Results 20%
• Classification Algorithms 20%
• K-nearest 20%
• Support Vector Machine 20%
• Unknown Type 20%
• Unknown Attacks 20%
• SYN Flood 20%
• Traffic Data 20%
• Nave Bayes Classifier 20%
• Packet Loss Rate 20%
• Traffic Dataset 20%
• Proper Time 20%
• Network Management 20%
• Network Environment 20%
• Effective Attack 20%
• Control Plane 20%
• Network Paradigm 20%
• Period Analysis 20%
• Long Delay 20%

Computer Science

• Machine Learning 100%
• Learning System 100%
• Software Defined Networking 100%
• OpenFlow 100%
• Detection Performance 60%
• Network Traffic 40%
• Classification Algorithm 20%
• Support Vector Machine 20%
• Unknown Attack 20%
• Control Plane 20%
• K-near neighbor classifier 20%
• Network Paradigm 20%
• Networking Environment 20%
• Packet Loss Rate 20%
• Bayes Classifier 20%
• Nave Bayes 20%
• Network Management 20%