A Semisupervised Approach for Industrial Anomaly Detection via Self-Adaptive Clustering.
Xiaoxue MaJacky KeungPinjia HeYan XiaoXiao YuYishu LiPublished in: IEEE Trans. Ind. Informatics (2024)
Keyphrases
- anomaly detection
- semi supervised
- intrusion detection
- unsupervised learning
- detecting anomalies
- anomalous behavior
- network intrusion detection
- network traffic
- intrusion detection system
- unsupervised anomaly detection
- computer security
- clustering analysis
- network anomaly detection
- behavior analysis
- detect anomalies
- one class support vector machines
- detecting anomalous
- clustering algorithm
- malware detection
- clustering method
- normal behavior
- pattern recognition
- cumulative sum
- network security
- computer vision
- pattern mining
- active learning
- object recognition
- negative selection algorithm