Combining Oversampling with Recurrent Neural Networks for Intrusion Detection.
Jenq-Haur WangTri Wanda SeptianPublished in: DASFAA (Workshops) (2021)
Keyphrases
- intrusion detection
- recurrent neural networks
- intrusion detection system
- anomaly detection
- network security
- neural network
- network traffic
- high detection rate
- artificial neural networks
- recurrent networks
- network intrusion detection
- feed forward
- reservoir computing
- echo state networks
- artificial immune
- information security
- detecting anomalous
- alert correlation
- network intrusion
- computer security
- data mining
- cyber security
- network attacks
- computer networks
- false positives and false negatives
- data mining techniques
- nonlinear dynamic systems
- training data
- false positives
- face recognition
- databases