Detecting Phishing E-mails by Heterogeneous Classification

  title={Detecting Phishing E-mails by Heterogeneous Classification},
  author={M. Dolores del Castillo and {\'A}ngel Iglesias and Jose Ignacio Serrano},
This paper presents a system for classifying e-mails into two categories, legitimate and fraudulent. This classifier system is based on the serial application of three filters: a Bayesian filter that classifies the textual content of e-mails, a rulebased filter that classifies the non grammatical content of e-mails and, finally, a filter based on an emulator of fictitious accesses which classifies the responses from websites referenced by links contained in e-mails. This system is based on an… CONTINUE READING

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