Unsupervised Labeling for Supervised Anomaly Detection in Enterprise and Cloud Networks.
Sunhee BaekDonghwoon KwonJinoh KimSang C. SuhHyunjoo KimIkkyun KimPublished in: CSCloud (2017)
Keyphrases
- anomaly detection
- unsupervised learning
- unsupervised anomaly detection
- supervised learning
- semi supervised
- intrusion detection
- detecting anomalies
- network traffic
- novelty detection
- anomalous behavior
- network intrusion detection
- unsupervised methods
- intrusion detection system
- computer security
- negative selection algorithm
- detect anomalies
- behavior analysis
- object recognition
- network anomaly detection
- computer networks
- feature selection
- cloud computing
- model selection
- one class support vector machines
- reinforcement learning
- detecting anomalous
- social networks
- machine learning
- self organizing maps
- text mining
- active learning
- network security
- data sets
- network intrusion
- text classification
- pattern recognition
- information systems
- data mining