Anomaly detection in wide area network meshes using two machine learning algorithms.
James ZhangRobert W. GardnerIlija VukoticPublished in: Future Gener. Comput. Syst. (2019)
Keyphrases
- machine learning algorithms
- anomaly detection
- wide area network
- distributed databases
- benchmark data sets
- learning algorithm
- machine learning
- replicated databases
- intrusion detection
- network intrusion detection
- machine learning methods
- decision trees
- detecting anomalies
- anomalous behavior
- learning problems
- network traffic
- unsupervised learning
- detect anomalies
- intrusion detection system
- one class support vector machines
- negative selection algorithm
- machine learning models
- network anomaly detection
- natural language processing
- tcp ip
- network security
- transfer learning
- data replication
- data structure