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) |
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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) |
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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 |
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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 |
6 |
Date of Issue |
2019-06-27 (CS) |
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