%0 Journal Article
%T A Negative Selection Algorithm Based on Email Classification Techniques
%A Victor. Onomza Waziri
%A Ismaila Idris
%A Mohammed Bashir Abdullahi
%A Hahimi Danladi
%J World of Computer Science and Information Technology Journal
%D 2013
%I 
%X Aiming to develop an immune based system, the negative selection algorithm aid in solving complex problems in spam detection. This is been achieve by distinguishing spam from non-spam (self from non-self). In this paper, we propose an optimized technique for e-mail classification. This is done by distinguishing the characteristics of self and non-self that is been acquired from trained data set. These extracted features of self and non-self are then combined to make a single detector, therefore reducing the false rate. (Non-self that were wrongly classified as self). The result that will be acquired in this paper will demonstrate the effectiveness of this technique in decreasing false rate.
%K Negative selection
%K E-mail Classification
%K Algorithm
%K Self
%K Non-Self
%K Artificial Immune System
%K Classification accuracy.
%U http://www.wcsit.org/pub/2013/vol.3.no.3/A%20Negative%20Selection%20Algorithm%20Based%20on%20Email%20Classification%20Techniques.pdf