Quarterly journal published in SPbPU
and edited by prof. Peter Zegzhda
Peter the Great St. Petersburg Polytechnic University
Institute of computer sciences and technologies
information security of computer systems
Information Security Problems. Computer Systems
Published since 1999.
ISSN 2071-8217
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