BaitAlarm: Detecting phishing sites using similarity in fundamental visual features

10.1109/INCoS.2013.151

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Bibliographic Details
Main Authors: Mao, J., Li, P., Li, K., Wei, T., Liang, Z.
Other Authors: COMPUTER SCIENCE
Format: Conference or Workshop Item
Published: 2014
Subjects:
CSS
Online Access:http://scholarbank.nus.edu.sg/handle/10635/78040
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-780402024-11-09T15:59:43Z BaitAlarm: Detecting phishing sites using similarity in fundamental visual features Mao, J. Li, P. Li, K. Wei, T. Liang, Z. COMPUTER SCIENCE Antiphishing CSS Web security 10.1109/INCoS.2013.151 Proceedings - 5th International Conference on Intelligent Networking and Collaborative Systems, INCoS 2013 790-795 2014-07-04T03:11:43Z 2014-07-04T03:11:43Z 2013 Conference Paper Mao, J., Li, P., Li, K., Wei, T., Liang, Z. (2013). BaitAlarm: Detecting phishing sites using similarity in fundamental visual features. Proceedings - 5th International Conference on Intelligent Networking and Collaborative Systems, INCoS 2013 : 790-795. ScholarBank@NUS Repository. https://doi.org/10.1109/INCoS.2013.151 9780769549880 http://scholarbank.nus.edu.sg/handle/10635/78040 NOT_IN_WOS Scopus
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
topic Antiphishing
CSS
Web security
spellingShingle Antiphishing
CSS
Web security
Mao, J.
Li, P.
Li, K.
Wei, T.
Liang, Z.
BaitAlarm: Detecting phishing sites using similarity in fundamental visual features
description 10.1109/INCoS.2013.151
author2 COMPUTER SCIENCE
author_facet COMPUTER SCIENCE
Mao, J.
Li, P.
Li, K.
Wei, T.
Liang, Z.
format Conference or Workshop Item
author Mao, J.
Li, P.
Li, K.
Wei, T.
Liang, Z.
author_sort Mao, J.
title BaitAlarm: Detecting phishing sites using similarity in fundamental visual features
title_short BaitAlarm: Detecting phishing sites using similarity in fundamental visual features
title_full BaitAlarm: Detecting phishing sites using similarity in fundamental visual features
title_fullStr BaitAlarm: Detecting phishing sites using similarity in fundamental visual features
title_full_unstemmed BaitAlarm: Detecting phishing sites using similarity in fundamental visual features
title_sort baitalarm: detecting phishing sites using similarity in fundamental visual features
publishDate 2014
url http://scholarbank.nus.edu.sg/handle/10635/78040
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