AutoML: state of the art with a focus on anomaly detection, challenges, and research directions.
Maroua BahriFlavia SalutariAndrian PutinaMauro SozioPublished in: Int. J. Data Sci. Anal. (2022)
Keyphrases
- anomaly detection
- intrusion detection
- detecting anomalies
- anomalous behavior
- behavior analysis
- intrusion detection system
- network intrusion detection
- network traffic
- computer security
- unsupervised anomaly detection
- detecting anomalous
- network anomaly detection
- one class support vector machines
- negative selection algorithm
- malware detection
- network security
- detect anomalies
- cumulative sum
- data sets
- network intrusion
- unsupervised learning
- training set
- decision trees
- connectionist systems
- feature selection