Machine Learning for Anomaly Detection: A Systematic Review.
Ali Bou NassifManar Abu TalibQassim NasirFatima Mohamad DakalbabPublished in: IEEE Access (2021)
Keyphrases
- anomaly detection
- systematic review
- machine learning
- network anomaly detection
- intrusion detection
- empirical studies
- detecting anomalies
- anomalous behavior
- unsupervised anomaly detection
- network intrusion detection
- unsupervised learning
- intrusion detection system
- behavior analysis
- computer security
- computational intelligence
- learning algorithm
- detect anomalies
- decision trees
- data mining
- active learning
- negative selection algorithm
- information extraction
- feature selection
- network security
- pattern recognition
- natural language processing
- support vector machine
- support vector
- network intrusion
- data analysis
- cumulative sum
- data sets