Strengths And Weaknesses of Deep, Convolutional and Recurrent Neural Networks in Network Intrusion Detection Deployments.
Marek PawlickiPublished in: ISD (2023)
Keyphrases
- strengths and weaknesses
- recurrent neural networks
- network intrusion detection
- deep learning
- intrusion detection
- anomaly detection
- deep belief networks
- neural network
- network intrusion
- advantages and disadvantages
- fraud detection
- echo state networks
- reservoir computing
- feed forward
- recurrent networks
- artificial immune
- intrusion detection system
- network anomaly detection
- artificial neural networks
- neural model
- unsupervised learning
- restricted boltzmann machine
- network attacks
- nonlinear dynamic systems
- cascade correlation
- usability testing
- relative strengths and weaknesses
- network intrusions
- network security
- probabilistic model
- data analysis
- information retrieval