Machine Learning for Web Intrusion Detection: A Comparative Analysis of Feature Selection Methods mRMR and PFI.
Thiago José LucasCarlos Alexandre Carvalho TojeiroRafael Goncalves PiresKelton Augusto Pontara da CostaJoão Paulo PapaPublished in: ICAISC (1) (2020)
Keyphrases
- intrusion detection
- machine learning
- intrusion detection system
- anomaly detection
- network security
- network traffic
- data mining
- information security
- detecting anomalous
- network intrusion detection
- artificial immune
- high detection rate
- computer security
- network intrusion
- cyber security
- web applications
- web pages
- pattern recognition
- learning algorithm
- false positives and false negatives
- data analysis
- distributed intrusion detection
- data mining techniques
- feature selection
- reinforcement learning
- network attacks
- computational intelligence
- information extraction
- network intrusions
- intrusion prevention
- intrusion detection and prevention
- association rules