Deep Federated Anomaly Detection for Multivariate Time Series Data.
Wei ZhuDongjin SongYuncong ChenWei ChengBo ZongTakehiko MizoguchiCristian LumezanuHaifeng ChenJiebo LuoPublished in: Big Data (2022)
Keyphrases
- anomaly detection
- multivariate time series data
- multivariate time series
- stochastic processes
- intrusion detection
- temporal data
- detecting anomalies
- subspace clustering
- anomalous behavior
- network traffic
- predicting future
- network intrusion detection
- network anomaly detection
- autoregressive
- unsupervised learning
- negative selection algorithm
- intrusion detection system
- data sets
- detect anomalies
- temporal patterns
- dimension reduction
- categorical data
- data streams