Anomaly detection for streaming data based on grid-clustering and Gaussian distribution.
Beiji ZouKangkang YangXiaoyan KuiJun LiuShenghui LiaoWei ZhaoPublished in: Inf. Sci. (2023)
Keyphrases
- data streams
- streaming data
- anomaly detection
- gaussian distribution
- sliding window
- streaming time series
- intrusion detection
- concept drift
- detecting anomalies
- maximum likelihood
- unsupervised learning
- network traffic
- network intrusion detection
- intrusion detection system
- expectation maximization
- anomalous behavior
- clustering algorithm
- data sets
- detect anomalies
- gaussian mixture model
- k means
- network security
- one class support vector machines
- negative selection algorithm
- high dimensional data
- generative model
- supervised learning
- object recognition
- training data
- network anomaly detection
- image processing