An ensemble-based approach to the security-oriented classification of low-level log traces.
Bettina FazzingaFrancesco FolinoFilippo FurfaroLuigi PontieriPublished in: Expert Syst. Appl. (2020)
Keyphrases
- low level
- pattern recognition
- high level
- classification accuracy
- neural network
- regression problems
- pattern classification
- multiple classifiers
- support vector
- classification models
- svm classifier
- final classification
- majority voting
- classifier ensemble
- classification systems
- ensemble learning
- feature selection
- image classification
- information security
- training set
- classification scheme
- decision trees
- visual information
- classification algorithm
- access control
- support vector machine svm
- higher level
- concept drifting data streams
- decision tree classifiers
- machine learning
- individual classifiers
- weak learners
- feature extraction
- feature vectors
- random forests
- active learning
- support vector machine
- ensemble methods
- low level features
- data sets
- class labels
- benchmark datasets