An Unsupervised Deep Learning Model for Early Network Traffic Anomaly Detection.
Ren-Hung HwangMin-Chun PengChien-Wei HuangPo-Ching LinVan Linh NguyenPublished in: IEEE Access (2020)
Keyphrases
- anomaly detection
- network traffic
- intrusion detection
- deep learning
- negative selection algorithm
- network intrusion detection
- network security
- detecting anomalous
- one class support vector machines
- unsupervised learning
- intrusion detection system
- computer networks
- detect anomalies
- probabilistic model
- information retrieval
- data sets
- traffic data
- traffic patterns
- multi class
- bayesian networks