Classification of malicious web code by machine learning.
Ryohei KomiyaIncheon PaikMasayuki HisadaPublished in: iCAST (2011)
Keyphrases
- machine learning
- pattern recognition
- decision trees
- text classification
- machine learning methods
- supervised machine learning
- feature selection
- support vector machine
- machine learning algorithms
- supervised classification
- website
- machine learning approaches
- semantic web
- classification accuracy
- model selection
- data mining
- supervised learning
- feature space
- classification algorithm
- knowledge acquisition
- web applications
- automatic classification
- image classification
- classification method
- feature vectors
- pattern classification
- feature extraction
- knowledge discovery
- unsupervised learning
- support vector
- support vector machine svm
- malicious code
- web data
- benchmark datasets
- information sources
- source code
- text mining
- semi supervised
- social media
- active learning
- preprocessing
- training data
- computer vision
- artificial intelligence