Anomaly Detection in Time Series using Generative Adversarial Networks.
Fiete LüerDominik MautzChristian BöhmPublished in: ICDM Workshops (2019)
Keyphrases
- anomaly detection
- detect anomalies
- intrusion detection
- unsupervised learning
- detecting anomalies
- anomalous behavior
- network intrusion detection
- intrusion detection system
- unsupervised anomaly detection
- negative selection algorithm
- computer security
- detecting anomalous
- network traffic
- computer networks
- network security
- one class support vector machines
- network anomaly detection
- social networks
- network structure
- cumulative sum
- decision trees
- behavior analysis
- malware detection
- network intrusion
- hidden markov models
- connectionist systems