A GAN and Feature Selection-Based Oversampling Technique for Intrusion Detection.
Xiaodong LiuTong LiRunzi ZhangDi WuYongheng LiuZhen YangPublished in: Secur. Commun. Networks (2021)
Keyphrases
- intrusion detection
- feature selection
- intrusion detection system
- anomaly detection
- network traffic
- network intrusion detection
- network security
- false positives and false negatives
- artificial immune
- information security
- data mining
- feature space
- detecting anomalous
- network intrusion
- feature extraction
- cyber security
- computer security
- data mining techniques
- machine learning
- unsupervised learning
- text classification
- dimensionality reduction
- alert correlation
- classification accuracy
- high detection rate
- intrusion detection and prevention
- support vector
- fraud detection
- naive bayes
- model selection
- multi class
- support vector machine
- object recognition
- network intrusion detection systems
- network intrusions