Identifying important characteristics in the KDD99 intrusion detection dataset by feature selection using a hybrid approach.
Nelcileno AraújoRuy de OliveiraEd'Wilson FerreiraAilton Akira ShinodaBharat K. BhargavaPublished in: ICT (2010)
Keyphrases
- intrusion detection
- nsl kdd
- feature selection
- intrusion detection system
- data mining
- network security
- anomaly detection
- data mining techniques
- network traffic
- artificial immune
- network traffic data
- information security
- network intrusion detection
- outlier mining
- high detection rate
- knowledge discovery
- false positives and false negatives
- network intrusion
- cyber security
- computer security
- machine learning
- network intrusions
- detecting anomalous
- information systems
- classification accuracy
- data analysis
- feature space
- support vector
- alert correlation
- network attacks
- computer networks
- association rules
- knn
- multi class