A Deep Learning Approach for Network Anomaly Detection Based on AMF-LSTM.
Mingyi ZhuKejiang YeYang WangCheng-Zhong XuPublished in: NPC (2018)
Keyphrases
- deep learning
- network anomaly detection
- anomaly detection
- unsupervised learning
- network intrusion detection
- self organizing maps
- recurrent neural networks
- unsupervised feature learning
- machine learning
- weakly supervised
- mental models
- deep architectures
- intrusion detection
- supervised learning
- natural language processing
- semi supervised
- image segmentation
- alert correlation
- computer vision