A Novel Wrapped Feature Selection Framework for Developing Power System Intrusion Detection Based on Machine Learning Methods.
Yongming HanYue WangYuan CaoZhiqiang GengQunxiong ZhuPublished in: IEEE Trans. Syst. Man Cybern. Syst. (2023)
Keyphrases
- intrusion detection
- machine learning methods
- power system
- intrusion detection system
- machine learning
- feature selection
- anomaly detection
- network security
- network intrusion detection
- machine learning algorithms
- power grid
- optimal power flow
- data mining
- computational intelligence
- network traffic
- learning algorithm
- real world
- computer systems
- data mining techniques
- information security
- ensemble methods
- probabilistic model
- power generation
- alert correlation
- active power