Applications of Generative Adversarial Networks in Anomaly Detection: A Systematic Literature Review.
Mikael SabuhiMing ZhouCor-Paul BezemerPetr MusílekPublished in: IEEE Access (2021)
Keyphrases
- anomaly detection
- literature review
- intrusion detection
- unsupervised learning
- detecting anomalies
- case study
- anomalous behavior
- network traffic
- network anomaly detection
- network intrusion detection
- detecting anomalous
- unsupervised anomaly detection
- one class support vector machines
- computer security
- intrusion detection system
- network security
- malware detection
- behavior analysis
- computer networks
- detect anomalies
- neural network
- cumulative sum
- information systems
- negative selection algorithm
- clustering analysis
- current issues
- computer systems
- principal component analysis
- social networks