Effects of Machine Learning Approach in Flow-Based Anomaly Detection on Software-Defined Networking.
Samrat Kumar DeyMd. Mahbubur RahmanPublished in: Symmetry (2020)
Keyphrases
- anomaly detection
- machine learning
- network anomaly detection
- intrusion detection
- detecting anomalies
- computer network security
- anomalous behavior
- one class support vector machines
- network traffic
- unsupervised learning
- network intrusion detection
- intrusion prevention
- active learning
- information extraction
- intrusion detection system
- computer systems
- computer security
- detect anomalies
- cumulative sum
- computer vision
- detecting anomalous
- reinforcement learning
- decision trees
- neural network
- behavior analysis
- network intrusion
- malware detection
- data mining
- network security
- support vector machine
- pattern recognition
- feature selection
- learning algorithm
- text classification
- data mining techniques
- supervised learning
- data points
- association rules
- data analysis
- misuse detection
- unsupervised anomaly detection