A Worm Detection System Based on Deep Learning.
Hanxun ZhouYeshuai HuXinlin YangHong PanWei GuoCliff C. ZouPublished in: IEEE Access (2020)
Keyphrases
- deep learning
- worm detection
- false alarms
- intrusion detection
- unsupervised learning
- false positive and false negative
- unsupervised feature learning
- deep architectures
- machine learning
- weakly supervised
- mental models
- network traffic
- intrusion detection system
- detection rate
- domain specific
- malicious traffic
- learning algorithm
- real world
- network security
- false positives
- automatic extraction
- anomaly detection
- multi class
- pairwise
- multiscale
- data mining