A comparative analysis of semi-supervised learning in detecting burst header packet flooding attack in optical burst switching network

Keyphrases

• Semi-supervised Learning 100%
• Optical Burst Switching Network 100%
• Packet Flooding 100%
• Burst Header Packet 100%
• Flooding Attack 100%
• Supervised Machine Learning 62%
• Self-training 62%
• Behaving 62%
• Labeled Data 37%
• K-means 25%
• Gaussian Mixture Model 25%
• Classification Model 25%
• Model Training 25%
• Machine Learning Approach 12%
• Ensemble Classifier 12%
• Unlabeled Data 12%
• F1 Score 12%
• Precision-recall 12%
• Malicious Node 12%
• Network Data 12%
• Manual Labeling 12%
• Two-class Classification 12%
• Model-based Approach 12%
• Precision Score 12%
• Class Classification 12%
• Training Approaches 12%
• Supervised Learning 12%
• Small-sized 12%
• Small Sets 12%
• Recall Score 12%
• K-means Clustering 12%
• Three-class Classification 12%
• Learning-based Approach 12%
• Four-class Classification 12%

Computer Science

• Flooding Attack 100%
• Switching Network 100%
• Semisupervised Learning 100%
• Self-Training 100%
• Modified Version 80%
• Machine Learning Approach 80%
• Class Classification 80%
• Classification Models 40%
• Training Model 40%
• Gaussian Mixture Model 40%
• Machine Learning Algorithm 20%
• K-Means Clustering 20%
• Unlabeled Data 20%
• Machine Learning-Based Approach 20%
• Final Decision 20%
• Supervised Learning 20%
• Machine Learning 20%
• Learning System 20%