MIM-GAN-based Anomaly Detection for Multivariate Time Series Data.
Shan LuZhicheng DongDonghong CaiFang FangDongcai ZhaoPublished in: CoRR (2023)
Keyphrases
- anomaly detection
- multivariate time series data
- multivariate time series
- stochastic processes
- subspace clustering
- intrusion detection
- temporal data
- predicting future
- network intrusion detection
- anomalous behavior
- network traffic
- detecting anomalies
- intrusion detection system
- unsupervised learning
- detect anomalies
- autoregressive
- one class support vector machines
- network anomaly detection
- data sets
- categorical data
- temporal patterns
- dimension reduction
- negative selection algorithm
- similarity measure