R1SVM: A Randomised Nonlinear Approach to Large-Scale Anomaly Detection.
Sarah M. ErfaniMahsa BaktashmotlaghSutharshan RajasegararShanika KarunasekeraChristopher LeckiePublished in: AAAI (2015)
Keyphrases
- anomaly detection
- one class support vector machines
- intrusion detection
- support vector machine svm
- support vector
- anomalous behavior
- detecting anomalies
- intrusion detection system
- network intrusion detection
- knn
- network traffic
- computer security
- network anomaly detection
- unsupervised anomaly detection
- support vector machine
- detecting anomalous
- kernel function
- detect anomalies
- unsupervised learning
- behavior analysis
- data mining
- kernel methods
- negative selection algorithm
- feature vectors
- training data
- training set
- network intrusion
- svm classifier
- normal behavior
- network security
- data sets
- maximum likelihood
- hidden markov models
- pattern recognition
- feature selection
- real world