PhishWHO: Phishing webpage detection via identity keywords extraction and target domain name finder
This paper proposes a phishing detection technique based on the difference between the target and actual identities of a webpage. The proposed phishing detection approach, called PhishWHO, can be divided into three phases. The first phase extracts identity keywords from the textual contents of the...
Saved in:
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier B.V.
2016
|
Subjects: | |
Online Access: | http://ir.unimas.my/id/eprint/13363/1/Phishing%20webpage%20detection%20via%20identity%20keywords%20%28abstract%29.pdf http://ir.unimas.my/id/eprint/13363/ http://www.sciencedirect.com/science/article/pii/S0167923616300781 http://dx.doi.org/10.1016/j.dss.2016.05.005 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.unimas.ir.13363 |
---|---|
record_format |
eprints |
spelling |
my.unimas.ir.133632022-09-14T08:23:53Z http://ir.unimas.my/id/eprint/13363/ PhishWHO: Phishing webpage detection via identity keywords extraction and target domain name finder Tan, Choon Lin Chiew, Kang Leng Wong, KokSheik Sze, San Nah T Technology (General) This paper proposes a phishing detection technique based on the difference between the target and actual identities of a webpage. The proposed phishing detection approach, called PhishWHO, can be divided into three phases. The first phase extracts identity keywords from the textual contents of the website, where a novel weighted URL tokens system based on the N-gram model is proposed. The second phase finds the target domain name by using a search engine, and the target domain name is selected based on identity-relevant features. In the final phase, a 3-tier identity matching system is proposed to determine the legitimacy of the query webpage. The overall experimental results suggest that the proposed system outperforms the conventional phishing detection methods considered. Elsevier B.V. 2016 Article PeerReviewed text en http://ir.unimas.my/id/eprint/13363/1/Phishing%20webpage%20detection%20via%20identity%20keywords%20%28abstract%29.pdf Tan, Choon Lin and Chiew, Kang Leng and Wong, KokSheik and Sze, San Nah (2016) PhishWHO: Phishing webpage detection via identity keywords extraction and target domain name finder. Decision Support Systems, 88. pp. 18-27. ISSN 0167-9236 http://www.sciencedirect.com/science/article/pii/S0167923616300781 http://dx.doi.org/10.1016/j.dss.2016.05.005 |
institution |
Universiti Malaysia Sarawak |
building |
Centre for Academic Information Services (CAIS) |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Malaysia Sarawak |
content_source |
UNIMAS Institutional Repository |
url_provider |
http://ir.unimas.my/ |
language |
English |
topic |
T Technology (General) |
spellingShingle |
T Technology (General) Tan, Choon Lin Chiew, Kang Leng Wong, KokSheik Sze, San Nah PhishWHO: Phishing webpage detection via identity keywords extraction and target domain name finder |
description |
This paper proposes a phishing detection technique based on the difference between the target and actual
identities of a webpage. The proposed phishing detection approach, called PhishWHO, can be divided
into three phases. The first phase extracts identity keywords from the textual contents of the website,
where a novel weighted URL tokens system based on the N-gram model is proposed. The second phase
finds the target domain name by using a search engine, and the target domain name is selected based on
identity-relevant features. In the final phase, a 3-tier identity matching system is proposed to determine
the legitimacy of the query webpage. The overall experimental results suggest that the proposed system
outperforms the conventional phishing detection methods considered. |
format |
Article |
author |
Tan, Choon Lin Chiew, Kang Leng Wong, KokSheik Sze, San Nah |
author_facet |
Tan, Choon Lin Chiew, Kang Leng Wong, KokSheik Sze, San Nah |
author_sort |
Tan, Choon Lin |
title |
PhishWHO: Phishing webpage detection via identity keywords
extraction and target domain name finder |
title_short |
PhishWHO: Phishing webpage detection via identity keywords
extraction and target domain name finder |
title_full |
PhishWHO: Phishing webpage detection via identity keywords
extraction and target domain name finder |
title_fullStr |
PhishWHO: Phishing webpage detection via identity keywords
extraction and target domain name finder |
title_full_unstemmed |
PhishWHO: Phishing webpage detection via identity keywords
extraction and target domain name finder |
title_sort |
phishwho: phishing webpage detection via identity keywords
extraction and target domain name finder |
publisher |
Elsevier B.V. |
publishDate |
2016 |
url |
http://ir.unimas.my/id/eprint/13363/1/Phishing%20webpage%20detection%20via%20identity%20keywords%20%28abstract%29.pdf http://ir.unimas.my/id/eprint/13363/ http://www.sciencedirect.com/science/article/pii/S0167923616300781 http://dx.doi.org/10.1016/j.dss.2016.05.005 |
_version_ |
1744357751596777472 |
score |
13.211869 |