Unsupervised Anomaly Detection for Communication Networks: An Autoencoder Approach.
Pieter BonteSander Vanden HautteAnnelies LejonVeerle LedouxFilip De TurckSofie Van HoeckeFemke OngenaePublished in: IoT Streams/ITEM@PKDD/ECML (2020)
Keyphrases
- communication networks
- unsupervised anomaly detection
- anomaly detection
- semi supervised
- intrusion detection
- wireless communication
- computer networks
- pattern mining
- intrusion detection system
- distributed databases
- network structure
- restricted boltzmann machine
- communication infrastructure
- network traffic
- smart grid
- ip networks
- data mining
- internet protocol
- active learning
- data model
- social networks
- databases
- communication protocols
- computer systems
- knowledge discovery
- database
- management system