Anomaly Detection on Data Streams - A LSTM's Diary.
Christoph AugensteinBogdan FranczykPublished in: RCIS (2020)
Keyphrases
- anomaly detection
- data streams
- streaming data
- high dimensional data streams
- intrusion detection
- sliding window
- network intrusion detection
- anomalous behavior
- network traffic
- detecting anomalies
- recurrent neural networks
- personal information
- unsupervised anomaly detection
- intrusion detection system
- concept drift
- computer security
- detect anomalies
- cumulative sum
- unsupervised learning
- behavior analysis
- one class support vector machines
- network anomaly detection
- data sets
- sensor data
- detecting anomalous
- itemsets
- feature extraction
- malware detection
- outlier detection
- network security