CEFF: An efficient approach for traffic anomaly detection and classification.
Geng TianZhiliang WangXia YinJun ChenXingang ShiChao ZhouZimu LiYingya GuoPublished in: ISCC (2017)
Keyphrases
- anomaly detection
- network traffic
- intrusion detection
- anomalous behavior
- unsupervised learning
- detecting anomalies
- network anomaly detection
- network security
- network intrusion detection
- detect anomalies
- behavior analysis
- pattern recognition
- computer security
- pattern classification
- unsupervised anomaly detection
- support vector
- decision trees
- intrusion detection system
- machine learning
- training set
- one class support vector machines
- feature selection
- data sets
- normal traffic
- detecting anomalous
- network intrusion
- high dimensional
- computer networks
- learning algorithm
- bayesian networks
- negative selection algorithm
- knn
- supervised learning