Automatic Feature Extraction and Selection For Machine Learning Based Intrusion Detection.
Jinjie LiuSun Sunnie ChungPublished in: SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI (2019)
Keyphrases
- intrusion detection
- machine learning
- feature extraction and selection
- intrusion detection system
- pattern recognition
- data mining
- network intrusion detection
- anomaly detection
- network traffic
- network security
- high detection rate
- computer security
- detecting anomalous
- cyber security
- information security
- network intrusion
- feature set
- text classification
- feature extraction
- decision trees
- computer vision
- learning algorithm
- artificial immune
- neural network
- false positives and false negatives
- network intrusion detection systems
- network intrusions
- intrusion detection and prevention
- computational intelligence
- data analysis
- feature selection
- fraud detection
- model selection
- dimensionality reduction
- text mining
- knowledge discovery
- alert correlation
- probabilistic model
- object recognition
- reinforcement learning
- data sets