Machine Learning for Detecting Anomalies and Intrusions in Communication Networks.
Zhida LiAna Laura Gonzalez RiosLjiljana TrajkovicPublished in: IEEE J. Sel. Areas Commun. (2021)
Keyphrases
- communication networks
- detecting anomalies
- anomaly detection
- machine learning
- intrusion detection
- intrusion detection system
- computer networks
- wireless communication
- network traffic
- distributed databases
- network structure
- learning algorithm
- decision trees
- data mining applications
- unsupervised learning
- network security
- data mining
- abnormal events
- text classification
- communication infrastructure
- knowledge discovery
- email communication
- feature selection
- pattern recognition
- data analysis
- active learning
- supervised learning
- high dimensional
- distributed environment
- computer vision
- object oriented
- artificial intelligence
- text mining