A Machine Learning-Based Anomaly Prediction Service for Software-Defined Networks.
Zohaib LatifQasim UmerChoonhwa LeeKashif SharifFan LiSujit BiswasPublished in: Sensors (2022)
Keyphrases
- machine learning
- prediction accuracy
- service providers
- data mining
- decision trees
- configuration management
- web services
- prediction error
- machine learning methods
- network structure
- anomaly detection
- intrusion detection
- neural network ensemble
- prediction algorithm
- network resources
- software tools
- learning algorithm
- software development
- prediction model
- software intensive systems
- enterprise systems
- internet services
- service discovery
- service quality
- software architecture
- text mining
- software systems
- text classification
- unsupervised learning
- software engineering
- complex networks
- computer systems
- information extraction
- end users
- data analysis
- computer science
- source code
- neural network
- feature selection