A many-objective integrated evolutionary algorithm for feature selection in anomaly detection.
Zhixia ZhangLiping XiePublished in: Concurr. Comput. Pract. Exp. (2020)
Keyphrases
- anomaly detection
- evolutionary algorithm
- feature selection
- intrusion detection
- multi objective
- network intrusion detection
- anomalous behavior
- unsupervised learning
- detecting anomalies
- multi objective optimization
- network traffic
- novelty detection
- network anomaly detection
- computer security
- sparse pca
- one class support vector machines
- differential evolution
- detecting anomalous
- unsupervised anomaly detection
- detect anomalies
- intrusion detection system
- text classification
- mutation operator
- machine learning
- malware detection
- network security
- function optimization
- behavior analysis
- fitness function
- normal behavior
- feature extraction
- cumulative sum
- neural network
- pattern mining
- network intrusion
- computational intelligence
- object recognition
- genetic algorithm