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

Shuichiro Haruta, Fumitaka Yamazaki, Hiromu Asahina, Iwao Sasase

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of 2019 25th Asia-Pacific Conference on Communications, APCC 2019
EditorsVo Nguyen Quoc Bao, Tran Thien Thanh
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages280-285
Number of pages6
ISBN (Electronic)9781728136790
DOIs
Publication statusPublished - 2019 Nov
Event25th Asia-Pacific Conference on Communications, APCC 2019 - Ho Chi Minh City, Viet Nam
Duration: 2019 Nov 62019 Nov 8

Publication series

NameProceedings 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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  • Cite this

    Haruta, S., Yamazaki, F., Asahina, H., & Sasase, I. (2019). A novel visual similarity-based phishing detection scheme using hue information with auto updating database. In V. N. Q. Bao, & T. T. Thanh (Eds.), Proceedings of 2019 25th Asia-Pacific Conference on Communications, APCC 2019 (pp. 280-285). [9026498] (Proceedings of 2019 25th Asia-Pacific Conference on Communications, APCC 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APCC47188.2019.9026498