Automatic Detection of Phishing Target from Phishing Webpage

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Provided by: Institute of Electrical & Electronic Engineers
Topic: Security
Format: PDF
An approach to identification of the phishing target of a given (suspicious) webpage is proposed by clustering the webpage set consisting of its all associated webpages and the given webpage itself. The authors first find its associated webpages, and then explore their relationships to the given webpage as their features for clustering. Such relationships include link relationship, ranking relationship, text similarity, and webpage layout similarity relationship. A DBSCAN clustering method is employed to find if there is a cluster around the given webpage.
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