MIR_MAD: An Efficient and On-line Approach for Anomaly Detection in Dynamic Data Stream.
Chang How TanVincent C. S. LeeMahsa SalehiPublished in: ICDM (Workshops) (2020)
Keyphrases
- anomaly detection
- streaming data
- data streams
- intrusion detection
- anomalous behavior
- network intrusion detection
- high level declarative
- network traffic
- detecting anomalous
- detecting anomalies
- sliding window
- computer security
- unsupervised anomaly detection
- one class support vector machines
- high dimensional data streams
- network anomaly detection
- network security
- intrusion detection system
- unsupervised learning
- behavior analysis
- detect anomalies
- neural network
- malware detection
- change detection
- network intrusion
- k means
- object recognition
- negative selection algorithm
- feature selection
- data mining
- data sets