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Odunibosi, Oluwaseun (2019) Classification of email headers using Random Forest algorithm to detect email spoofing. Masters thesis, Dublin, National College of Ireland.
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Abstract
Email has become a tool for communication in and around the world in general. The use of email as medium of communication has increased despite the availability of other means of communication like social media and electronic messages. Email has come to stay and so also the threats which come with the use of emails. With the increase in emails, threats like email spoofing, phishing and spamming are on the rise. Researchers have proposed various method for management of email threats which involves classification and filtering of email to deal with the problem.
The motivation of this research is that it that email header contains very important information which can be used in the detection of email spoofing. This paper successfully extracts email header from user inbox using python script, saves the email header in CSV format and successfully classifies user inbox messages using random forest algorithm to detect spoofed or legitimate mail. It also looks at the performance of the script on overhead of the resources it is executed on.
| Item Type: | Thesis (Masters) |
|---|---|
| Subjects: | Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > QA Mathematics > Computer software T Technology > T Technology (General) > Information Technology > Computer software Q Science > QA Mathematics > Computer software > Computer Security T Technology > T Technology (General) > Information Technology > Computer software > Computer Security |
| Divisions: | School of Computing > Master of Science in Cyber Security |
| Depositing User: | Caoimhe Ní Mhaicín |
| Date Deposited: | 03 Apr 2020 12:01 |
| Last Modified: | 03 Apr 2020 12:01 |
| URI: | https://norma.ncirl.ie/id/eprint/4169 |
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