Detection of DDoS attacks in D2D communications using machine learning approach

Computer Science

• Machine Learning Approach 100%
• Denial of Service Attack 100%
• Distributed Denial of Service 100%
• Distributed Denial of Service Attack 100%
• Random Decision Forest 75%
• Communication Environment 50%
• Machine Learning 25%
• Detection Accuracy 25%
• Communication Network 25%
• Extreme Gradient Boosting 25%
• Network Structures 25%
• Research Objective 25%
• Machine Learning Algorithm 25%
• Device-To-Device 25%
• Memory Resource 25%
• Time Processing 25%
• Binary Decision 25%
• Binary Classification 25%
• Processing Resource 25%

Keyphrases

• Slow Loris 57%
• CICDDoS2019 Dataset 28%
• Communication Environment 28%
• Emulation 28%
• LightGBM 14%
• Memory Resource 14%
• Processing Resources 14%
• Time Processing 14%
• Whole Process 14%
• AdaBoost 14%
• Memory Time 14%
• Binary Choice 14%
• Structure Destruction 14%
• Time Resources 14%
• Slowloris Attack 14%