Unsupervised machine learning for network-centric anomaly detection in IoT.
Randeep BhatiaSteven A. BennoJairo O. EstebanT. V. LakshmanJohn GroganPublished in: Big-DAMA@CoNEXT (2019)
Keyphrases
- anomaly detection
- network centric
- machine learning
- unsupervised learning
- unsupervised anomaly detection
- network anomaly detection
- user centric
- intrusion detection
- supervised learning
- anomalous behavior
- detecting anomalies
- network intrusion detection
- situation awareness
- management system
- network traffic
- intrusion detection system
- distributed object
- detect anomalies
- learning algorithm
- pattern recognition
- data mining
- artificial intelligence
- one class support vector machines
- reinforcement learning
- semi supervised
- neural network
- model selection
- knowledge discovery
- natural language
- decision trees
- data mining applications
- client server
- text mining
- support vector machine
- active learning
- database systems
- negative selection algorithm
- feature selection