On the Use of Autoencoders in Unsupervised Learning for Intrusion Detection Systems.
Lea Astrid Kenmogne MekemteGérard ChalhoubPublished in: UNet (2023)
Keyphrases
- intrusion detection system
- unsupervised learning
- anomaly detection
- intrusion detection
- deep belief networks
- denoising
- network security
- computer networks
- supervised learning
- network traffic
- computer security
- network intrusion detection
- network intrusion detection systems
- computer systems
- attack detection
- object recognition
- intrusion prevention
- distributed intrusion detection
- model selection
- semi supervised
- expectation maximization
- data mining techniques
- cyber security
- deep learning
- dimensionality reduction
- machine learning
- network intrusions
- alert correlation
- normal behavior
- pattern recognition
- restricted boltzmann machine
- feature selection
- text classification
- security architecture
- malicious activities