Financial phishing detection method based on sensitive characteristics of webpage

A financial phishing detection method based on sensitive characteristics of webpage was proposed, which acquired sensitive text information of specific hypertext markup language tags and computes sensitive text eigen-value. The method matches number of sensitive text using multiple pattern matching...

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Main Authors: Xiang-dong HU, Ke LIU, Feng ZHANG, Jia-fu LIN, Jun FU, Zhi-hui GUO
Format: Article
Language:English
Published: POSTS&TELECOM PRESS Co., LTD 2017-02-01
Series:网络与信息安全学报
Subjects:
Online Access:http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2017.00122
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author Xiang-dong HU
Ke LIU
Feng ZHANG
Jia-fu LIN
Jun FU
Zhi-hui GUO
author_facet Xiang-dong HU
Ke LIU
Feng ZHANG
Jia-fu LIN
Jun FU
Zhi-hui GUO
author_sort Xiang-dong HU
collection DOAJ
description A financial phishing detection method based on sensitive characteristics of webpage was proposed, which acquired sensitive text information of specific hypertext markup language tags and computes sensitive text eigen-value. The method matches number of sensitive text using multiple pattern matching algorithm AC_SC (AC suitable for Chinese). Then, the method locates and cuts logo image of webpage, and utilizes PCA-SIFT algorithm to extract image features and match features with library of webpage logo which was established beforehand. Meanwhile, it calculates similarity of two logo image. Finally, the decision can be concluded by the text eigenvalue and image similarity. It shows that the method is better in pertinence and timeliness according to experiment, and achieves no less than 97% detection accuracy.
format Article
id doaj-art-62deccf78e964529a66529c3d6eb59fc
institution Kabale University
issn 2096-109X
language English
publishDate 2017-02-01
publisher POSTS&TELECOM PRESS Co., LTD
record_format Article
series 网络与信息安全学报
spelling doaj-art-62deccf78e964529a66529c3d6eb59fc2025-01-15T03:05:29ZengPOSTS&TELECOM PRESS Co., LTD网络与信息安全学报2096-109X2017-02-013313859549719Financial phishing detection method based on sensitive characteristics of webpageXiang-dong HUKe LIUFeng ZHANGJia-fu LINJun FUZhi-hui GUOA financial phishing detection method based on sensitive characteristics of webpage was proposed, which acquired sensitive text information of specific hypertext markup language tags and computes sensitive text eigen-value. The method matches number of sensitive text using multiple pattern matching algorithm AC_SC (AC suitable for Chinese). Then, the method locates and cuts logo image of webpage, and utilizes PCA-SIFT algorithm to extract image features and match features with library of webpage logo which was established beforehand. Meanwhile, it calculates similarity of two logo image. Finally, the decision can be concluded by the text eigenvalue and image similarity. It shows that the method is better in pertinence and timeliness according to experiment, and achieves no less than 97% detection accuracy.http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2017.00122financial webpagesensitive characteristictext eigenvalueimage similarityphishing detection
spellingShingle Xiang-dong HU
Ke LIU
Feng ZHANG
Jia-fu LIN
Jun FU
Zhi-hui GUO
Financial phishing detection method based on sensitive characteristics of webpage
网络与信息安全学报
financial webpage
sensitive characteristic
text eigenvalue
image similarity
phishing detection
title Financial phishing detection method based on sensitive characteristics of webpage
title_full Financial phishing detection method based on sensitive characteristics of webpage
title_fullStr Financial phishing detection method based on sensitive characteristics of webpage
title_full_unstemmed Financial phishing detection method based on sensitive characteristics of webpage
title_short Financial phishing detection method based on sensitive characteristics of webpage
title_sort financial phishing detection method based on sensitive characteristics of webpage
topic financial webpage
sensitive characteristic
text eigenvalue
image similarity
phishing detection
url http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2017.00122
work_keys_str_mv AT xiangdonghu financialphishingdetectionmethodbasedonsensitivecharacteristicsofwebpage
AT keliu financialphishingdetectionmethodbasedonsensitivecharacteristicsofwebpage
AT fengzhang financialphishingdetectionmethodbasedonsensitivecharacteristicsofwebpage
AT jiafulin financialphishingdetectionmethodbasedonsensitivecharacteristicsofwebpage
AT junfu financialphishingdetectionmethodbasedonsensitivecharacteristicsofwebpage
AT zhihuiguo financialphishingdetectionmethodbasedonsensitivecharacteristicsofwebpage