DEVELOPMENT OF PHISHING SITE CLASSIFICATORS BASED ON DYNAMICALY UPDATED DATASET
G. S. Kubrin, D. V. Ivanov
Annotation: The paper describes a method of phishing site classification development based on dynamically updated dataset. A prototype of a system for automating model development and modification is described. A classificatory developed using the proposed method is described.
Keywords: phishing site detection, machine learning, web-page feature selection
Pages 74-81