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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Format: | Article |
Language: | English |
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POSTS&TELECOM PRESS Co., LTD
2017-02-01
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Series: | 网络与信息安全学报 |
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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 |