LogGAN: a Log-level Generative Adversarial Network for Anomaly Detection using Permutation Event Modeling.
Bin XiaYuxuan BaiJunjie YinYun LiJian XuPublished in: Inf. Syst. Frontiers (2021)
Keyphrases
- anomaly detection
- network traffic
- network anomaly detection
- intrusion detection
- detect anomalies
- network intrusion
- detecting anomalies
- intrusion detection system
- unsupervised learning
- normal behavior
- network intrusion detection
- anomalous behavior
- one class support vector machines
- detecting anomalous
- intrusion prevention
- abnormal events
- data assimilation
- computer security
- behavior analysis
- network security
- computer networks
- unsupervised anomaly detection
- malware detection
- object recognition
- training data
- social networks
- network structure
- connectionist systems