Site-aware Anomaly Detection with Machine Learning for Circuit Probing to Prevent Overkill.
Mincent LeeCheng-Tse LuChia-Heng TsaiHao ChenMin-Jer WangPublished in: ITC-Asia (2020)
Keyphrases
- anomaly detection
- machine learning
- intrusion detection
- network anomaly detection
- detecting anomalies
- network intrusion detection
- network traffic
- anomalous behavior
- unsupervised anomaly detection
- intrusion detection system
- computer security
- one class support vector machines
- behavior analysis
- network security
- pattern recognition
- computational intelligence
- unsupervised learning
- neural network
- active learning
- detecting anomalous
- natural language processing
- text classification
- information extraction
- learning algorithm
- computer vision
- cumulative sum
- support vector machine
- decision trees
- detect anomalies
- normal behavior
- malware detection
- data analysis
- training set
- knowledge discovery
- model selection
- text mining