Methodology for the Detection of Contaminated Training Datasets for Machine Learning-Based Network Intrusion-Detection Systems.
Joaquín Gaspar Medina-ArcoRoberto Magán-CarriónRafael Alejandro Rodríguez-GómezPedro García-TeodoroPublished in: Sensors (2024)
Keyphrases
- network intrusion detection systems
- training dataset
- machine learning
- intrusion detection
- intrusion detection system
- network intrusion
- detection algorithm
- network security
- statistical methods
- training data
- learning algorithm
- data analysis
- anomaly detection
- data sets
- text classification
- information extraction
- training set
- computer vision
- object detection
- supervised learning
- unsupervised learning
- association rules
- decision trees
- class labels
- image processing
- feature selection
- information security
- real world
- databases
- database