A Deep Learning Approach to Network Intrusion Detection Using Deep Autoencoder.
Srikanthyadav MoraboenaGayatri KetepalliPadmaja RagamPublished in: Rev. d'Intelligence Artif. (2020)
Keyphrases
- deep learning
- network intrusion detection
- restricted boltzmann machine
- anomaly detection
- unsupervised feature learning
- unsupervised learning
- intrusion detection
- network intrusion
- deep belief networks
- deep architectures
- intrusion detection system
- fraud detection
- machine learning
- weakly supervised
- network traffic
- mental models
- data sets
- feature selection
- databases
- data mining techniques
- computer vision