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