Anomaly Detection Through Comparison of Heterogeneous Machine Learning Classifiers vs KPCA.
Goverdhan Reddy JidigaPorika SammulalPublished in: SSCC (2015)
Keyphrases
- anomaly detection
- one class support vector machines
- machine learning
- network anomaly detection
- intrusion detection
- machine learning algorithms
- machine learning methods
- decision trees
- detecting anomalies
- network traffic
- network intrusion detection
- feature selection
- anomalous behavior
- unsupervised anomaly detection
- training data
- computer security
- kernel methods
- subspace methods
- detecting anomalous
- intrusion detection system
- pattern recognition
- support vector
- behavior analysis
- network security
- data analysis
- support vector machine
- text classification
- data mining
- text mining
- reinforcement learning
- cumulative sum
- misuse detection
- learning algorithm
- knowledge discovery
- detect anomalies
- normal behavior
- malware detection
- kernel pca
- face recognition
- image segmentation
- kernel function