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

Shuichiro Haruta; Fumitaka Yamazaki; Hiromu Asahina; Iwao Sasase

doi:10.1109/APCC47188.2019.9026498

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

Shuichiro Haruta, Fumitaka Yamazaki, Hiromu Asahina, Iwao Sasase

Department of Information and Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Proceedings of 2019 25th Asia-Pacific Conference on Communications, APCC 2019
Editors	Vo Nguyen Quoc Bao, Tran Thien Thanh
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	280-285
Number of pages	6
ISBN (Electronic)	9781728136790
DOIs	https://doi.org/10.1109/APCC47188.2019.9026498
Publication status	Published - 2019 Nov
Event	25th Asia-Pacific Conference on Communications, APCC 2019 - Ho Chi Minh City, Viet Nam Duration: 2019 Nov 6 → 2019 Nov 8

Publication series

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

Conference

Conference	25th Asia-Pacific Conference on Communications, APCC 2019
Country	Viet Nam
City	Ho Chi Minh City
Period	19/11/6 → 19/11/8

ASJC Scopus subject areas

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

Access to Document

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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

A novel visual similarity-based phishing detection scheme using hue information with auto updating database. / Haruta, Shuichiro; Yamazaki, Fumitaka; Asahina, Hiromu; Sasase, Iwao.

Proceedings of 2019 25th Asia-Pacific Conference on Communications, APCC 2019. ed. / Vo Nguyen Quoc Bao; Tran Thien Thanh. Institute of Electrical and Electronics Engineers Inc., 2019. p. 280-285 9026498 (Proceedings of 2019 25th Asia-Pacific Conference on Communications, APCC 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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 VNQ Bao & TT Thanh (eds), Proceedings of 2019 25th Asia-Pacific Conference on Communications, APCC 2019., 9026498, Proceedings of 2019 25th Asia-Pacific Conference on Communications, APCC 2019, Institute of Electrical and Electronics Engineers Inc., pp. 280-285, 25th Asia-Pacific Conference on Communications, APCC 2019, Ho Chi Minh City, Viet Nam, 19/11/6. https://doi.org/10.1109/APCC47188.2019.9026498

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

Haruta, Shuichiro ; Yamazaki, Fumitaka ; Asahina, Hiromu ; Sasase, Iwao. / A novel visual similarity-based phishing detection scheme using hue information with auto updating database. Proceedings of 2019 25th Asia-Pacific Conference on Communications, APCC 2019. editor / Vo Nguyen Quoc Bao ; Tran Thien Thanh. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 280-285 (Proceedings of 2019 25th Asia-Pacific Conference on Communications, APCC 2019).

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