Deep Federated Anomaly Detection for Multivariate Time Series Data.
Wei ZhuDongjin SongYuncong ChenWei ChengBo ZongTakehiko MizoguchiCristian LumezanuHaifeng ChenJiebo LuoPublished in: CoRR (2022)
Keyphrases
- anomaly detection
- multivariate time series data
- multivariate time series
- intrusion detection
- temporal data
- detecting anomalies
- subspace clustering
- stochastic processes
- network intrusion detection
- network traffic
- intrusion detection system
- predicting future
- network anomaly detection
- unsupervised learning
- one class support vector machines
- anomalous behavior
- bayesian networks
- negative selection algorithm
- data mining
- autoregressive
- knowledge discovery
- dimension reduction
- semi supervised