A Semi-Supervised Autoencoder Approach for Efficient Intrusion Detection in Network Traffic.
Arthur AlmeidaLuís GonçalvesCleber ZanchettinByron Leite Dantas BezerraPublished in: LA-CCI (2023)
Keyphrases
- intrusion detection
- network traffic
- intrusion detection system
- semi supervised
- anomaly detection
- network security
- detecting anomalous
- computer networks
- network intrusion detection
- network monitoring
- network management
- network intrusion
- network intrusions
- network traffic data
- traffic data
- network attacks
- traffic patterns
- information security
- data sets
- unsupervised learning
- data mining techniques
- active learning
- feature space
- fraud detection
- stream data
- pairwise
- association rules
- face recognition
- feature selection