Presentation | 2019-07-04 A Novel Visual Similarity-based Phishing Detection Methodology Using Hue Information with Auto Updating Database Shuichiro Haruta, Fumitaka Yamazaki, Hiromu Asahina, Iwao Sasase, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we propose a novel visual similarity-based phishing detection methodology using hue information with auto updating database. Since a PWS (Phishing Website) is created based on targeted legitimate website or other subspecies and they have similar hue information, many PWSs can be exhaustively detected by tracing similar colored subspecies. Based on this notion, the proposed methodology detects a website which has similar hue information to already detected PWSs registered in the database as phishing. By repeating this procedure, the detection scope can be effectively expanded. In order to reduce the situation where irrelevant legitimate websites which have similar hue information to database’s ones are detected as phishing, the proposed methodology utilizes the fact that used color combination is different among such irrelevant websites and PWS. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Phishing Detection / Hue Information / Signature / Auto Update |
Paper # | CS2019-14 |
Date of Issue | 2019-06-27 (CS) |
Conference Information | |
Committee | CS |
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Conference Date | 2019/7/4(2days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | Amami City Social Welfare Center |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | Next Generation Networks, Access Networks, Broadband Access, Power Line Communications, Wireless Communication Systems, Coding Systems, etc. |
Chair | Hidenori Nakazato(Waseda Univ.) |
Vice Chair | Jun Terada(NTT) |
Secretary | Jun Terada(Waseda Univ.) |
Assistant | Kazutaka Hara(NTT) / Hiroyuki Saito(OKI) |
Paper Information | |
Registration To | Technical Committee on Communication Systems |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A Novel Visual Similarity-based Phishing Detection Methodology Using Hue Information with Auto Updating Database |
Sub Title (in English) | |
Keyword(1) | Phishing Detection |
Keyword(2) | Hue Information |
Keyword(3) | Signature |
Keyword(4) | Auto Update |
1st Author's Name | Shuichiro Haruta |
1st Author's Affiliation | Keio University(Keio Univ.) |
2nd Author's Name | Fumitaka Yamazaki |
2nd Author's Affiliation | Keio University(Keio Univ.) |
3rd Author's Name | Hiromu Asahina |
3rd Author's Affiliation | Keio University(Keio Univ.) |
4th Author's Name | Iwao Sasase |
4th Author's Affiliation | Keio University(Keio Univ.) |
Date | 2019-07-04 |
Paper # | CS2019-14 |
Volume (vol) | vol.119 |
Number (no) | CS-101 |
Page | pp.pp.7-12(CS), |
#Pages | 6 |
Date of Issue | 2019-06-27 (CS) |