作者: Walter Rweyemamu , Tobias Lauinger , Christo Wilson , William Robertson , Engin Kirda
DOI: 10.1007/978-3-030-15986-3_11
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摘要: Top domain rankings (e.g., Alexa) are commonly used in security research, such as to survey features or vulnerabilities of “relevant” websites. Due their central role selecting a sample sites study, an inappropriate choice use can introduce unwanted biases into research results. We quantify various characteristics three top lists that have not been reported before. For example, the weekend effect Alexa and Umbrella causes these change geographical diversity between workweek weekend. Furthermore, up 91% ranked domains appear alphabetically sorted clusters containing 87k presumably equivalent popularity. discuss practical implications findings, propose novel best practices regarding community.