TY - GEN
T1 - A novel visual similarity-based phishing detection scheme using hue information with auto updating database
AU - Haruta, Shuichiro
AU - Yamazaki, Fumitaka
AU - Asahina, Hiromu
AU - Sasase, Iwao
N1 - Funding Information:
This work is partly supported by the Grant in Aid for Scientific Research (No.17K06440) from Japan Society for Promotion of Science (JSPS).
Publisher Copyright:
© 2019 IEEE.
PY - 2019/11
Y1 - 2019/11
N2 - 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.
AB - 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.
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U2 - 10.1109/APCC47188.2019.9026498
DO - 10.1109/APCC47188.2019.9026498
M3 - Conference contribution
AN - SCOPUS:85082948244
T3 - Proceedings of 2019 25th Asia-Pacific Conference on Communications, APCC 2019
SP - 280
EP - 285
BT - Proceedings of 2019 25th Asia-Pacific Conference on Communications, APCC 2019
A2 - Bao, Vo Nguyen Quoc
A2 - Thanh, Tran Thien
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 25th Asia-Pacific Conference on Communications, APCC 2019
Y2 - 6 November 2019 through 8 November 2019
ER -