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- W2964230812 abstract "This paper proposes a machine-learning framework for supporting intelligent web phishing detection and analysis, and provides its experimental evaluation. In particular we make use of state-of-the-art decision tree algorithms for detecting whether a Web site is able to perform phishing activities. If this is the case, the Web site is classified as a Web-phishing site. Our experimental evaluation confirms the benefits of applying machine learning methods to the well-known web-phishing detection problem." @default.
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- W2964230812 date "2019-01-01" @default.
- W2964230812 modified "2023-10-03" @default.
- W2964230812 title "A machine-learning framework for supporting intelligent web-phishing detection and analysis" @default.
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- W2964230812 doi "https://doi.org/10.1145/3331076.3331087" @default.
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