A novel unsupervised framework for time series data anomaly detection via spectrum decomposition.
Tianyang LeiChang GongGang ChenMengxin OuKe-Wei YangJichao LiPublished in: Knowl. Based Syst. (2023)
Keyphrases
- anomaly detection
- intrusion detection
- unsupervised anomaly detection
- network intrusion detection
- anomalous behavior
- unsupervised learning
- novelty detection
- detecting anomalies
- computer security
- detect anomalies
- intrusion detection system
- network security
- negative selection algorithm
- genetic algorithm
- network traffic
- semi supervised
- data assimilation
- data sets
- malware detection
- evolutionary algorithm
- pattern recognition
- decision trees
- detecting anomalous