DECISION TREES-BASED METHOD AND APPARATUS FOR DETECTING PHISHING WEBSITE, AND COMPUTER DEVICE

摘要

The present application provides a decision trees-based method and apparatus for detecting a phishing website, and a computer device, belonging to the technical field of intelligent decisions, said method comprising: pre-constructing a random forest as a classification model; determining webpage information about a website to be detected, and extracting feature information about said website according to the webpage information about said website; using the constructed random forest comprising several decision trees to perform classification vote on the extracted feature information; and when the result of the classification vote indicates that the votes of a phishing website are greater than the votes of a normal website, determining that said website is a phishing website. In the present application, the random forest is constructed by establishing decision trees using a large number of website samples, and comprises diverse types of phishing websites; and the random forest is used as a classification model to perform classification vote, achieving high accuracy.