Multi agent system for network attack classification using flow-based intrusion detection.
David L. HancockGary B. LamontPublished in: IEEE Congress on Evolutionary Computation (2011)
Keyphrases
- intrusion detection
- network intrusion
- network attacks
- network traffic
- intrusion detection system
- network intrusion detection
- anomaly detection
- network security
- network intrusions
- intrusion prevention
- alert correlation
- cyber attacks
- normal behavior
- multi agent systems
- computer networks
- network traffic data
- high detection rate
- cyber security
- classification accuracy
- credit card fraud detection
- detecting anomalous
- computer security
- intrusion detection and prevention
- support vector
- network intrusion detection systems
- machine learning
- feature selection
- dos attacks
- fraud detection
- artificial immune
- worm detection
- feature extraction
- misuse detection
- security vulnerabilities
- training set
- decision trees
- data analysis
- real world
- learning algorithm
- training data
- text classification
- cost sensitive
- countermeasures