Multivariate Unsupervised Machine Learning for Anomaly Detection in Enterprise Applications.
Daniel ElsnerPouya Aleatrati KhosroshahiAlan D. MacCormackRobert LagerströmPublished in: HICSS (2019)
Keyphrases
- anomaly detection
- machine learning
- unsupervised learning
- unsupervised anomaly detection
- network anomaly detection
- novelty detection
- intrusion detection
- supervised learning
- detecting anomalies
- network intrusion detection
- anomalous behavior
- network traffic
- detecting anomalous
- data mining
- intrusion detection system
- one class support vector machines
- computer security
- behavior analysis
- detect anomalies
- learning algorithm
- pattern recognition
- computer vision
- decision trees
- feature selection
- text classification
- text mining
- natural language processing
- semi supervised
- support vector machine
- data analysis
- training data
- cumulative sum
- information systems
- computational intelligence
- network security
- knowledge discovery