E-mail Filtering System for Nigerian Spam

This project shows about the project details in developing the E-Mail Filtering
System specifically in filtering the Nigerian Spam. The main elements in this report
consist of introduction, literature review, methodology and result and discussion. The
project is developed by focusing on research activities, findings analysis and developing
product. This project is developed based onthe advancement ofInformation Technology
(IT) system today which is recently growing rapidly. Recent growth in the use of email
for communication andthe corresponding growth in the volume of email received have
made automatic processing of email desirable. Present day solutions to stop spam work
by analyzing headers and message text or classifying the mail based on history. This
report gives anintroduction to machine learning methods for spam filtering especially for
Nigerian Spam. Anoverview of this mail system will fall back on SPAM filters that use
"Naive Bayesian Filtering" which is a probabilistic approach to estimate the degree of
SPAM.