A novel visual similarity-based phishing detection scheme using hue information with auto updating database

Shuichiro Haruta, Fumitaka Yamazaki, Hiromu Asahina, Iwao Sasase

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

In this paper, we propose a novel visual similarity-based phishing detection scheme using hue information with auto updating database. Since a PWS (Phishing Website) is created based on targeted legitimate website or other subspecies whose hue information is similar each other, many PWSs can be exhaustively detected by tracing similar colored subspecies. Based on this notion, the proposed scheme detects a new PWS which has similar hue information to already detected PWSs. By repeating this procedure, the detection scope can be effectively expanded. In order to avoid the misdetection of legitimate websites which have similar hue information to database's ones, the proposed scheme utilizes the fact that the combination of used colors is hard to be similar among legitimate websites and PWSs. By the computer simulation with real dataset, we demonstrate that the proposed scheme improves the detection performance as the number of detected PWSs increases.

本文言語English
ホスト出版物のタイトルProceedings of 2019 25th Asia-Pacific Conference on Communications, APCC 2019
編集者Vo Nguyen Quoc Bao, Tran Thien Thanh
出版社Institute of Electrical and Electronics Engineers Inc.
ページ280-285
ページ数6
ISBN(電子版)9781728136790
DOI
出版ステータスPublished - 2019 11
イベント25th Asia-Pacific Conference on Communications, APCC 2019 - Ho Chi Minh City, Viet Nam
継続期間: 2019 11 62019 11 8

出版物シリーズ

名前Proceedings of 2019 25th Asia-Pacific Conference on Communications, APCC 2019

Conference

Conference25th Asia-Pacific Conference on Communications, APCC 2019
CountryViet Nam
CityHo Chi Minh City
Period19/11/619/11/8

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality
  • Control and Optimization

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