On the Performance of GRASP-Based Feature Selection for CPS Intrusion Detection.
Silvio Ereno QuincozesDaniel MosséDiego G. PassosCélio Vinicius N. de AlbuquerqueLuiz Satoru OchiVinícius Figueiredo dos SantosPublished in: IEEE Trans. Netw. Serv. Manag. (2022)
Keyphrases
- intrusion detection
- feature selection
- intrusion detection system
- anomaly detection
- network intrusion detection
- network traffic
- network security
- high detection rate
- information security
- detecting anomalous
- multi class
- artificial immune
- feature space
- network intrusion
- computer security
- data mining
- false positives and false negatives
- data mining techniques
- feature extraction
- alert correlation
- machine learning
- model selection
- fraud detection
- text classification
- decision trees
- network attacks
- network traffic data
- cyber security
- classification accuracy
- databases
- network intrusion detection systems