Investigating Network Intrusion Detection Datasets Using Machine Learning.
Gabriel Chukwunonso AmaizuCosmas Ifeanyi NwakanmaJae-Min LeeDong-Seong KimPublished in: ICTC (2020)
Keyphrases
- network intrusion detection
- machine learning
- network traffic data
- network anomaly detection
- intrusion detection
- anomaly detection
- network intrusion
- artificial immune
- network traffic
- intrusion detection system
- fraud detection
- network attacks
- pattern recognition
- data mining
- learning algorithm
- feature selection
- data sets
- computer vision
- database
- unsupervised learning
- natural language processing
- information extraction
- semi supervised learning
- network security