System för att upptäcka Phishing : Klassificering av mejl

by Karlsson, Nicklas

Abstract (Summary)
This report takes a look at the phishing problem, something that many have come across with for example the fake Nordea or eBay e-mails that lately have shown up in our e-mail inboxes, and a possible way to reduce the effect of phishing. The focus in the report lies on classification of e-mails and the main question is: “Is it, with high accuracy, possible with a classification tool to sort phishing e-mails from other spam e-mails.” It was more difficult than expected to find phishing e-mails to use in the classification. The classifications that were made showed that it was possible to find up to 100 % of the phishing e-mails with both Naive Bayes and with Support Vector Machine. The report presents the work done, facts about phishing and the results of the classification tests made.
Bibliographical Information:


School:Växjö universitet

School Location:Sweden

Source Type:Master's Thesis

Keywords:phishing spam classification naive bayes support vector machine rainbow cygwin anti working group filer


Date of Publication:05/28/2008

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