Anomalous Rule Detection using Machine Learning in Software Defined Networks.
Vignesh SridharanMohan GurusamyAlberto Leon-GarciaPublished in: NFV-SDN (2019)
Keyphrases
- machine learning
- anomaly detection
- automatic detection
- software systems
- detecting anomalous
- detection accuracy
- false alarms
- inductive learning
- false positives
- detection algorithm
- computer systems
- pattern recognition
- machine learning methods
- complex networks
- data mining
- explanation based learning
- supervised learning
- detection method
- software tools
- software architecture
- software development
- decision trees
- classification rules
- social networks
- software maintenance
- feature selection
- detection rate
- association rules
- user interface
- active learning
- unsupervised learning
- open source
- text classification