Detection of phishing websites based on the improved TrustRank algorithm

Anti-phishing methods just generally detect phishing sites based on comparing the similarity of pages features,which could be anti-detected when attackers are clear about the extraction process of features.Therefore,a method based on web pages relationship was proposed to detect phishing websites.Ac...

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Main Authors: Hao HAN, Bowen LIU, Guoyuan LIN
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2018-03-01
Series:Dianxin kexue
Subjects:
Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2018046/
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author Hao HAN
Bowen LIU
Guoyuan LIN
author_facet Hao HAN
Bowen LIU
Guoyuan LIN
author_sort Hao HAN
collection DOAJ
description Anti-phishing methods just generally detect phishing sites based on comparing the similarity of pages features,which could be anti-detected when attackers are clear about the extraction process of features.Therefore,a method based on web pages relationship was proposed to detect phishing websites.According to this method,phishing websites were detected by an improved TrustRank algorithm which set up a collection of web pages and used the link relationship between phishing websites and other websites.Experiments show that the improved TrustRank algorithm can focus the trust values of phishing websites on some range with the lower false positive rate,the lower false negative rate and the higher speed compared to other methods.
format Article
id doaj-art-33721555aa6f4e9b9daec2cb5f047d9b
institution Kabale University
issn 1000-0801
language zho
publishDate 2018-03-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-33721555aa6f4e9b9daec2cb5f047d9b2025-01-15T03:05:01ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012018-03-0134869459596508Detection of phishing websites based on the improved TrustRank algorithmHao HANBowen LIUGuoyuan LINAnti-phishing methods just generally detect phishing sites based on comparing the similarity of pages features,which could be anti-detected when attackers are clear about the extraction process of features.Therefore,a method based on web pages relationship was proposed to detect phishing websites.According to this method,phishing websites were detected by an improved TrustRank algorithm which set up a collection of web pages and used the link relationship between phishing websites and other websites.Experiments show that the improved TrustRank algorithm can focus the trust values of phishing websites on some range with the lower false positive rate,the lower false negative rate and the higher speed compared to other methods.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2018046/phishing websiteTrustRankweb page relationshiplink relationship
spellingShingle Hao HAN
Bowen LIU
Guoyuan LIN
Detection of phishing websites based on the improved TrustRank algorithm
Dianxin kexue
phishing website
TrustRank
web page relationship
link relationship
title Detection of phishing websites based on the improved TrustRank algorithm
title_full Detection of phishing websites based on the improved TrustRank algorithm
title_fullStr Detection of phishing websites based on the improved TrustRank algorithm
title_full_unstemmed Detection of phishing websites based on the improved TrustRank algorithm
title_short Detection of phishing websites based on the improved TrustRank algorithm
title_sort detection of phishing websites based on the improved trustrank algorithm
topic phishing website
TrustRank
web page relationship
link relationship
url http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2018046/
work_keys_str_mv AT haohan detectionofphishingwebsitesbasedontheimprovedtrustrankalgorithm
AT bowenliu detectionofphishingwebsitesbasedontheimprovedtrustrankalgorithm
AT guoyuanlin detectionofphishingwebsitesbasedontheimprovedtrustrankalgorithm