Deakin University
Browse

Iterative construction of hierarchical classifiers for phishing website detection

Version 2 2024-06-03, 11:53
Version 1 2015-01-20, 18:22
journal contribution
posted on 2024-06-03, 11:53 authored by Jemal AbawajyJemal Abawajy, Gleb BeliakovGleb Beliakov, A Kelarev, Morshed Chowdhury
This article is devoted to a new iterative construction of hierarchical classifiers in SimpleCLI for the detection of phishing websites. Our new construction of hierarchical systems creates ensembles of ensembles in SimpleCLI by iteratively linking a top-level ensemble to another middle-level ensemble instead of a base classifier so that the top-level ensemble can generate a large multilevel system. This new construction makes it easy to set up and run such large systems in SimpleCLI. The present article concentrates on the investigation of performance of the iterative construction of such classifiers for the example of detection of phishing websites. We carried out systematic experiments evaluating several essential ensemble techniques as well as more recent approaches and studying their performance as parts of the iterative construction of hierarchical classifiers. The results presented here demonstrate that the iterative construction of hierarchical classifiers performed better than the base classifiers and standard ensembles. This example of application to the classification of phishing websites shows that the new iterative construction combining diverse ensemble techniques into the iterative construction of hierarchical classifiers can be applied to increase the performance in situations where data can be processed on a large computer. © 2014 ACADEMY PUBLISHER.

History

Journal

Journal of Networks

Volume

9

Pagination

2089-2098

Location

Oulu, Finland

ISSN

1796-2056

Language

eng

Publication classification

C Journal article, C1 Refereed article in a scholarly journal

Copyright notice

2014, Academy Publisher

Issue

8

Publisher

Academy Publisher