Automated Feature Selection for Anomaly Detection in Network Traffic Data.
Makiya NakashimaAlex SimYoungsoo KimJonghyun KimJinoh KimPublished in: ACM Trans. Manag. Inf. Syst. (2021)
Keyphrases
- anomaly detection
- network traffic data
- network intrusion detection
- network traffic
- intrusion detection
- feature selection
- intrusion detection system
- unsupervised learning
- detecting anomalies
- network anomaly detection
- anomalous behavior
- network security
- computer networks
- feature extraction
- feature space
- sparse pca
- machine learning
- one class support vector machines
- dimensionality reduction
- multi class
- negative selection algorithm
- computer vision
- traffic data
- data sets
- learning algorithm
- detect anomalies
- information systems
- model selection
- video sequences
- network management
- streaming data
- support vector machine
- text classification