Intrusion Detection and Classification of Attacks in High-Level Network Protocols Using Recurrent Neural Networks.
Vicente Alarcón AquinoCarlos A. Oropeza-ClavelJorge Rodríguez-AsomozaOleg StarostenkoRoberto Rosas-RomeroPublished in: TeNe (2008)
Keyphrases
- intrusion detection
- recurrent neural networks
- network protocols
- intrusion detection system
- network attacks
- network intrusion
- network intrusions
- computer security
- anomaly detection
- network intrusion detection
- intrusion prevention
- network security
- network intrusion detection systems
- neural network
- network traffic data
- cyber security
- network traffic
- security vulnerabilities
- information security
- feed forward
- cyber attacks
- echo state networks
- misuse detection
- feature selection
- normal behavior
- detecting anomalous
- intrusion detection and prevention
- classification accuracy
- machine learning
- data mining
- text classification
- support vector
- smart grid
- communication systems
- alert correlation
- supervised learning
- artificial neural networks
- training set
- databases