Phishing detection via identification of website identity

In this paper, we propose an anti-phishing method to protect Internet users from the phishing attacks. The scope of our study is on the Internet phishing, particularly focusing on the detection of phishing website. In order to do that, our proposed method will render a screenshot of the webpage and...

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Main Authors:	Ee, Hung Chang, Kang, Leng Chiew, San, Nah Sze, Wei, King Tiong
Format:	Conference or Workshop Item
Language:	English
Published:	2013
Subjects:	T Technology (General)
Online Access:	http://ir.unimas.my/15767/ http://ir.unimas.my/15767/ http://ir.unimas.my/15767/1/Phishing%20detection%20via%20identification%20of%20website%20identity%20%28abstrak%29.pdf

id	unimas-15767
recordtype	eprints
spelling	unimas-157672017-05-02T01:02:09Z http://ir.unimas.my/15767/ Phishing detection via identification of website identity Ee, Hung Chang Kang, Leng Chiew San, Nah Sze Wei, King Tiong T Technology (General) In this paper, we propose an anti-phishing method to protect Internet users from the phishing attacks. The scope of our study is on the Internet phishing, particularly focusing on the detection of phishing website. In order to do that, our proposed method will render a screenshot of the webpage and segment the region of interest, which consists of the website logo. Next, we will utilize Google image database to identify the website identity based on the segmented website logo. During the identification process, we employ the content-based image retrieval mechanism provided in Google Image Search engine to locate the most similar logo from Google image database. The returned results will reveal the real identity of the website. With the real identity, we can differentiate a phishing website from the legitimate website by assessing the domain name of the query website. The conducted experiments show promising results and our findings prove that we can effectively detect a phishing website when we manage to determine the real identity of a website 2013 Conference or Workshop Item PeerReviewed text en http://ir.unimas.my/15767/1/Phishing%20detection%20via%20identification%20of%20website%20identity%20%28abstrak%29.pdf Ee, Hung Chang and Kang, Leng Chiew and San, Nah Sze and Wei, King Tiong (2013) Phishing detection via identification of website identity. In: International Conference on IT Convergence and Security (ICITCS), 2013, 16-18 Dec. 2013. DOI: 10.1109/ICITCS.2013.6717870
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Sarawak
building	UNIMAS Institutional Repository
collection	Online Access
language	English
topic	T Technology (General)
spellingShingle	T Technology (General) Ee, Hung Chang Kang, Leng Chiew San, Nah Sze Wei, King Tiong Phishing detection via identification of website identity
description	In this paper, we propose an anti-phishing method to protect Internet users from the phishing attacks. The scope of our study is on the Internet phishing, particularly focusing on the detection of phishing website. In order to do that, our proposed method will render a screenshot of the webpage and segment the region of interest, which consists of the website logo. Next, we will utilize Google image database to identify the website identity based on the segmented website logo. During the identification process, we employ the content-based image retrieval mechanism provided in Google Image Search engine to locate the most similar logo from Google image database. The returned results will reveal the real identity of the website. With the real identity, we can differentiate a phishing website from the legitimate website by assessing the domain name of the query website. The conducted experiments show promising results and our findings prove that we can effectively detect a phishing website when we manage to determine the real identity of a website
format	Conference or Workshop Item
author	Ee, Hung Chang Kang, Leng Chiew San, Nah Sze Wei, King Tiong
author_facet	Ee, Hung Chang Kang, Leng Chiew San, Nah Sze Wei, King Tiong
author_sort	Ee, Hung Chang
title	Phishing detection via identification of website identity
title_short	Phishing detection via identification of website identity
title_full	Phishing detection via identification of website identity
title_fullStr	Phishing detection via identification of website identity
title_full_unstemmed	Phishing detection via identification of website identity
title_sort	phishing detection via identification of website identity
publishDate	2013
url	http://ir.unimas.my/15767/ http://ir.unimas.my/15767/ http://ir.unimas.my/15767/1/Phishing%20detection%20via%20identification%20of%20website%20identity%20%28abstrak%29.pdf
first_indexed	2018-09-06T16:24:37Z
last_indexed	2018-09-06T16:24:37Z
_version_	1610876010423648256

Phishing detection via identification of website identity

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