Unsupervised Online Anomaly Detection On Irregularly Sampled Or Missing Valued Time-Series Data Using LSTM Networks.
Oguzhan KaraahmetogluFatih IlhanIsmail BalabanSuleyman Serdar KozatPublished in: CoRR (2020)
Keyphrases
- anomaly detection
- unsupervised anomaly detection
- unsupervised learning
- intrusion detection
- novelty detection
- detecting anomalies
- anomalous behavior
- detect anomalies
- network intrusion detection
- network traffic
- behavior analysis
- network anomaly detection
- detecting anomalous
- one class support vector machines
- computer security
- recurrent neural networks
- computer networks
- intrusion detection system
- network intrusion
- network structure
- semi supervised
- connectionist systems
- cumulative sum
- social networks
- machine learning
- network security
- pattern recognition