Anomaly detection using data clustering and neural networks.
Hai QiuNeil H. W. EklundXiao HuWeizhong YanNaresh IyerPublished in: IJCNN (2008)
Keyphrases
- anomaly detection
- data clustering
- neural network
- unsupervised learning
- competitive learning
- connectionist systems
- intrusion detection
- detecting anomalies
- anomalous behavior
- cluster analysis
- self organizing maps
- k means
- clustering algorithm
- network intrusion detection
- intrusion detection system
- clustering analysis
- supervised learning
- detecting anomalous
- network anomaly detection
- one class support vector machines
- detect anomalies
- network traffic
- pattern recognition
- deterministic annealing
- streaming data
- hidden markov models
- genetic algorithm
- machine learning
- negative selection algorithm
- image segmentation
- feature extraction
- data sets
- bayesian networks
- computer systems
- dimensionality reduction
- databases