Enhancing feature selection with GMSMFO: A global optimization algorithm for machine learning with application to intrusion detection.
Nazar K. HusseinMohammed QaraadSouad AmjadM. A. FaragSaima HassanSeyedali MirjaliliMostafa A. El-HosseiniPublished in: J. Comput. Des. Eng. (2023)
Keyphrases
- optimization algorithm
- intrusion detection
- machine learning
- feature selection
- multi objective
- anomaly detection
- intrusion detection system
- network security
- network traffic
- network intrusion detection
- evolutionary multi objective
- optimization method
- differential evolution
- high detection rate
- data mining
- artificial bee colony
- unsupervised learning
- particle swarm optimization pso
- computer security
- hybrid optimization algorithm
- data sets
- information security
- neural network
- data mining techniques
- dimensionality reduction
- feature extraction
- decision trees
- genetic algorithm
- data processing
- text classification
- principal component analysis
- evolutionary algorithm
- support vector
- reinforcement learning
- artificial immune
- learning algorithm
- intrusion detection and prevention