An improved binary manta ray foraging optimization algorithm based feature selection and random forest classifier for network intrusion detection.
Ibrahim Hayatu HassanMohammed AbdullahiMansur Aliyu MasamaYusuf Sahabi AliAbdulrazaq AbdulrahimPublished in: Intell. Syst. Appl. (2022)
Keyphrases
- optimization algorithm
- network intrusion detection
- feature selection
- honey bee
- multi objective
- anomaly detection
- intrusion detection
- network intrusion
- artificial immune
- differential evolution
- intrusion detection system
- optimization method
- evolutionary multi objective
- particle swarm optimization pso
- fraud detection
- text categorization
- network anomaly detection
- swarm intelligence
- network traffic
- machine learning
- text classification
- artificial bee colony
- classification accuracy
- evolutionary algorithm
- support vector
- optimization strategy
- control parameters
- social networks
- support vector machine
- data warehouse
- network attacks
- data sets
- feature extraction
- ant colonies
- network security
- feature space
- active learning
- dimensionality reduction