An empirical study of pattern leakage impact during data preprocessing on machine learning-based intrusion detection models reliability.
Mohamed Aly BoukeAzizol AbdullahPublished in: Expert Syst. Appl. (2023)
Keyphrases
- intrusion detection
- data preprocessing
- machine learning
- data mining
- intrusion detection system
- anomaly detection
- network security
- network intrusion detection
- network traffic
- preprocessing step
- databases
- data cleaning
- text classification
- data mining techniques
- active learning
- pattern recognition
- feature selection
- neural network
- model selection
- text mining
- preprocessing
- metadata
- computer vision
- data sets
- detecting anomalous