Intelligent Anomaly Detection for Large Network Traffic with Optimized Deep Clustering (ODC) Algorithm

Keyphrases

• Algorithm Accuracy 9%
• Anomaly Detection 100%
• BIRCH Clustering Algorithm 9%
• Clustering Algorithm 100%
• Clustering Methods 18%
• Constrained Application Protocol (CoAP) 9%
• Deep Autoencoder 27%
• Deep Clustering 100%
• Error Rate 9%
• Evaluation Results 9%
• Human Intervention 9%
• Hyperparameters 9%
• Large-scale Networks 100%
• Malicious Network Traffic 9%
• MNIST 9%
• Network Traffic 100%
• Network Traffic Analysis 9%
• Network Traffic Dataset 9%
• Number of Clusters 9%
• Off-path 9%
• Reconstruction Error 9%
• Unlabeled Data 9%
• Unsupervised Machine Learning Algorithms 9%

Computer Science

• Anomaly Detection 100%
• Autoencoder 42%
• Clustering Algorithm 100%
• Clustering Method 28%
• Evaluation Result 14%
• Human Intervention 14%
• Machine Learning Algorithm 14%
• Network Traffic 100%
• Network Traffic Analysis 14%
• Reconstruction Error 14%
• Testbed 14%