Clustering-Based Granular Representation of Time Series With Application to Collective Anomaly Detection.
Wen ShiDimka KarastoyanovaYongsheng MaYongming HuangGuobao ZhangPublished in: IEEE Trans. Instrum. Meas. (2023)
Keyphrases
- anomaly detection
- intrusion detection
- detecting anomalies
- anomalous behavior
- detect anomalies
- computer security
- network intrusion detection
- network anomaly detection
- intrusion detection system
- network traffic
- network security
- behavior analysis
- machine learning
- unsupervised learning
- malware detection
- pairwise
- clustering algorithm
- feature selection
- one class support vector machines
- neural network
- negative selection algorithm
- detecting anomalous