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- W2969254881 abstract "When detecting phishing websites, both humans and computers rely on aspects of the website (features) to aid in their decision making. In this work, we conduct a review of URL-based phishing features that appear in publications targeting human-facing and automated anti-phishing approaches. We focus on both humans and computers to obtain a more comprehensive feature list and create a cross-community foundation for future research. We reviewed 94 papers and categorise their features into: lexical, host, rank, redirection, certificate, search engine, and black/white lists. We find that research on automation has used all feature categories but several, such as host-based features (e.g. DNS), are minimally explored in human-facing anti-phishing research." @default.
- W2969254881 created "2019-08-29" @default.
- W2969254881 creator A5021005396 @default.
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- W2969254881 date "2019-06-01" @default.
- W2969254881 modified "2023-10-11" @default.
- W2969254881 title "A Review of Human- and Computer-Facing URL Phishing Features" @default.
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- W2969254881 doi "https://doi.org/10.1109/eurospw.2019.00027" @default.
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