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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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
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
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)