TimeAutoAD: Autonomous Anomaly Detection With Self-Supervised Contrastive Loss for Multivariate Time Series.
Yang JiaoKai YangDongjin SongDacheng TaoPublished in: IEEE Trans. Netw. Sci. Eng. (2022)
Keyphrases
- anomaly detection
- multivariate time series
- intrusion detection
- network traffic
- detecting anomalies
- anomalous behavior
- multivariate time series data
- network intrusion detection
- intrusion detection system
- one class support vector machines
- temporal data
- unsupervised learning
- categorical data
- temporal patterns
- negative selection algorithm
- dimension reduction
- neural network
- autoregressive
- detect anomalies
- normal behavior
- human motion
- data analysis
- machine learning