An Empirical Evaluation of Deep Learning for Network Anomaly Detection.
Ritesh K. MalaiyaDonghwoon KwonSang C. SuhHyunjoo KimIkkyun KimJinoh KimPublished in: IEEE Access (2019)
Keyphrases
- deep learning
- network anomaly detection
- anomaly detection
- network intrusion detection
- unsupervised learning
- self organizing maps
- unsupervised feature learning
- machine learning
- intrusion detection
- weakly supervised
- decision trees
- alert correlation
- deep architectures
- feature vectors
- feature space
- network traffic
- mental models
- pattern recognition
- computer vision