Automated email spam trap

Mohd Norezan, Adiya Najmin (2016) Automated email spam trap. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

This project proposes solutions by developing an automated email spam trap to substitute the traditional way of managing email spam trap. The motivation is the spam email problem that keeps emerging from time to time thus prevention of this spam email is necessary. Therefore, the results from the analysis conducted will help to produce a system that helps to monitor spam email messages by giving a score towards the email messages received by user. The scope of this project involves identifying spam email messages that could harm and lower productivity level of an organization, examining email trap that help collect samples of unsolicited messages through ISPs and collect data about spam activities from resourceful Websites. The approach used in this project is by using simulation and prototype construction with Python programming language. The samples of email dataset are analyzed to study behavior of spam email messages from an email program. The important variables that are being controlled are the content type of spam email messages, scoring that are being measured and source that are ignored. The results are distinctive compared to other systems as it provides scoring for email messages using content based approach until an automated system are being developed. The results show that it is specific to a particular case not generalized as it concludes only content type view. In conclusion, this project helps to justify content type approach as one of the ways to build an automated email spam trap.

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