Sequential Deep Learning Architectures for Anomaly Detection in Virtual Network Function Chains.
Chungjun LeeJibum HongDongNyeong HeoHeeyoul ChoiPublished in: ICTC (2021)
Keyphrases
- anomaly detection
- deep learning
- network traffic
- network anomaly detection
- unsupervised learning
- detect anomalies
- intrusion detection
- network intrusion
- detecting anomalies
- network intrusion detection
- intrusion prevention
- anomalous behavior
- network security
- one class support vector machines
- normal behavior
- machine learning
- intrusion detection system
- weakly supervised
- image processing
- mental models
- neural network
- dimensionality reduction
- feature vectors
- training data
- real world