Improving Deep Learning Based Anomaly Detection on Multivariate Time Series Through Separated Anomaly Scoring.
Adam LundströmMattias O'NilsFaisal Z. QureshiAxel JantschPublished in: IEEE Access (2022)
Keyphrases
- anomaly detection
- deep learning
- multivariate time series
- unsupervised learning
- intrusion detection
- detecting anomalies
- anomalous behavior
- dimension reduction
- network traffic
- machine learning
- network intrusion detection
- temporal data
- temporal patterns
- intrusion detection system
- supervised learning
- detect anomalies
- cluster analysis
- markov random field
- face recognition