Deep Learning for Classifying Malicious Network Traffic.
Kyle MillarAdriel ChengHong Gunn ChewCheng-Chew LimPublished in: PAKDD (Workshops) (2018)
Keyphrases
- deep learning
- network traffic
- malicious code
- malicious traffic
- normal traffic
- anomaly detection
- unsupervised learning
- intrusion detection
- unsupervised feature learning
- network security
- machine learning
- traffic data
- network intrusion detection
- intrusion detection system
- weakly supervised
- mental models
- internet traffic
- traffic patterns
- long range dependence
- decision trees
- information systems
- learning algorithm