Latent Feature Decentralization Loss for One-Class Anomaly Detection.
Eungi HongYoonsik ChoePublished in: IEEE Access (2020)
Keyphrases
- anomaly detection
- intrusion detection
- detecting anomalies
- anomalous behavior
- network traffic
- behavior analysis
- unsupervised anomaly detection
- network intrusion detection
- computer security
- intrusion detection system
- unsupervised learning
- detect anomalies
- detecting anomalous
- one class support vector machines
- latent variables
- feature vectors
- network anomaly detection
- malware detection
- text mining
- data sets
- negative selection algorithm
- learning algorithm
- cumulative sum
- computer vision
- feature selection
- hidden markov models