Classifying Malicious Web Pages by Using an Adaptive Support Vector Machine.
Young-Sup HwangJin Baek KwonJae Chan MoonSeong Je ChoPublished in: J. Inf. Process. Syst. (2013)
Keyphrases
- support vector machine
- web pages
- classifying web pages
- website
- search engine
- support vector
- detecting malicious
- multi class
- machine learning
- web page classification
- svm classifier
- web documents
- web search
- link analysis
- keywords
- kernel function
- feature selection
- support vector machine svm
- web browser
- feature vectors
- malicious behavior
- link structure
- web content mining
- web data
- small sample
- dynamically generated
- automatic classification
- web information extraction
- training set
- training data
- soft margin
- high classification accuracy
- browsing experience
- google search engine
- multi class support vector machines
- feature space
- detect malicious
- web resources
- web users
- hyperplane
- radial basis function
- web server
- decision forest
- web communities
- data records
- data extraction
- malicious attacks
- decision boundary
- malicious users
- web logs
- support vector regression
- textual contents
- text classification