Adaptive and online network intrusion detection system using clustering and Extreme Learning Machines.
Setareh RoshanYoan MicheAnton AkusokAmaury LendassePublished in: J. Frankl. Inst. (2018)
Keyphrases
- extreme learning machines
- clustering method
- clustering algorithm
- online learning
- graph theoretic
- unsupervised learning
- anomaly detection
- hierarchical clustering
- cluster analysis
- information theoretic
- k means
- real time
- databases
- categorical data
- data driven
- neural network
- fuzzy clustering
- reinforcement learning
- data sets
- online environment
- online communities
- similarity function
- intrusion detection system
- pairwise
- distance metric
- evolutionary algorithm
- nearest neighbor