Residual size is not enough for anomaly detection: improving detection performance using residual similarity in multivariate time series.
Jeong-Han YunJonguk KimWon-Seok HwangYoung Geun KimSimon S. WooByung-Gil MinPublished in: SAC (2022)
Keyphrases
- anomaly detection
- multivariate time series
- intrusion detection
- detecting anomalies
- anomalous behavior
- network intrusion detection
- detect anomalies
- detecting anomalous
- network traffic
- intrusion detection system
- similarity measure
- one class support vector machines
- multivariate time series data
- categorical data
- negative selection algorithm
- unsupervised learning
- computer vision