A feature selection based on genetic algorithm for intrusion detection of industrial control systems.
Yushan FangYu YaoXiaoli LinJiaxuan WangHao ZhaiPublished in: Comput. Secur. (2024)
Keyphrases
- intrusion detection
- genetic algorithm
- feature selection
- control system
- intrusion detection system
- anomaly detection
- network security
- network intrusion detection
- cyber security
- critical infrastructure
- network traffic
- feature extraction
- detecting anomalous
- information security
- high detection rate
- data mining
- neural network
- evolutionary algorithm
- data mining techniques
- machine learning
- network intrusion
- false positives and false negatives
- multi class
- unsupervised learning
- model selection
- feature space
- artificial immune
- data analysis
- real time
- maximum likelihood
- classification accuracy
- network attacks
- support vector