Sequential Deep Learning Architectures for Anomaly Detection in Virtual Network Function Chains.
Chungjun LeeJibum HongDongNyeong HeoHeeyoul ChoiPublished in: CoRR (2021)
Keyphrases
- anomaly detection
- deep learning
- network traffic
- network anomaly detection
- unsupervised learning
- intrusion detection
- network intrusion
- detect anomalies
- detecting anomalies
- network intrusion detection
- anomalous behavior
- normal behavior
- intrusion detection system
- machine learning
- one class support vector machines
- intrusion prevention
- network security
- neural network
- abnormal events
- model selection
- co occurrence
- text mining
- supervised learning
- multi class
- information extraction
- support vector
- image processing
- data mining
- negative selection algorithm
- misuse detection