Case Study: A Semi-Supervised Methodology for Anomaly Detection and Diagnosis.
A. Morales-ForeroSamuel BassettoPublished in: IEEM (2019)
Keyphrases
- anomaly detection
- unsupervised anomaly detection
- semi supervised
- case study
- intrusion detection
- detecting anomalies
- unsupervised learning
- network traffic
- intrusion detection system
- network intrusion detection
- anomalous behavior
- semi supervised learning
- network anomaly detection
- detecting anomalous
- computer security
- behavior analysis
- network security
- labeled data
- real world
- pairwise
- detect anomalies
- network intrusion
- one class support vector machines
- malware detection
- active learning
- training data
- sparse pca
- machine learning