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Paper Abstract and Keywords
Presentation 2019-07-04 09:00
A Novel Visual Similarity-based Phishing Detection Methodology Using Hue Information with Auto Updating Database
Shuichiro Haruta, Fumitaka Yamazaki, Hiromu Asahina, Iwao Sasase (Keio Univ.) CS2019-14
Abstract (in Japanese) (See Japanese page) 
(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) 
(in English) Phishing Detection / Hue Information / Signature / Auto Update / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 101, CS2019-14, pp. 7-12, July 2019.
Paper # CS2019-14 
Date of Issue 2019-06-27 (CS) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF CS2019-14

Conference Information
Committee CS  
Conference Date 2019-07-04 - 2019-07-05 
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. 
Paper Information
Registration To CS 
Conference Code 2019-07-CS 
Language Japanese 
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  
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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.)
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Speaker Author-1 
Date Time 2019-07-04 09:00:00 
Presentation Time 15 minutes 
Registration for CS 
Paper # CS2019-14 
Volume (vol) vol.119 
Number (no) no.101 
Page pp.7-12 
#Pages
Date of Issue 2019-06-27 (CS) 


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