Machine Learning-Based Anomaly Detection in NFV: A Comprehensive Survey.
Sehar ZehraUmmay FaseehaHassan Jamil SyedFahad SamadAshraf Osman IbrahimAnas Waleed AbulfarajWamda NagmeldinPublished in: Sensors (2023)
Keyphrases
- anomaly detection
- machine learning
- network anomaly detection
- intrusion detection
- network traffic
- anomalous behavior
- detecting anomalies
- network intrusion detection
- unsupervised learning
- pattern recognition
- computer security
- text mining
- network security
- intrusion detection system
- detecting anomalous
- unsupervised anomaly detection
- behavior analysis
- normal behavior
- detect anomalies
- one class support vector machines
- malware detection
- self organizing maps
- cumulative sum
- computational intelligence
- supervised learning
- feature selection
- computer vision
- learning algorithm
- data mining
- neural network
- model selection
- computer systems
- text classification
- data analysis
- feature extraction
- decision trees
- negative selection algorithm
- data assimilation
- connectionist systems