Applying long short-term memory recurrent neural networks to intrusion detection.
Ralf C. StaudemeyerPublished in: South Afr. Comput. J. (2015)
Keyphrases
- recurrent neural networks
- intrusion detection
- long short term memory
- intrusion detection system
- neural network
- anomaly detection
- network security
- network traffic
- network intrusion detection
- feed forward
- network intrusion
- information security
- false positives and false negatives
- high detection rate
- echo state networks
- artificial neural networks
- computer security
- network intrusions
- artificial immune
- data mining
- detecting anomalous
- cyber security
- recurrent networks
- nonlinear dynamic systems
- intrusion prevention
- data sets
- fraud detection
- information systems
- computer systems
- data mining techniques
- knowledge discovery
- support vector
- feature selection