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A Negative Selection Algorithm Based on Email Classification Techniques

Author(s): Victor. Onomza Waziri | Ismaila Idris | Mohammed Bashir Abdullahi | Hahimi Danladi | Audu Isah

Journal: World of Computer Science and Information Technology Journal
ISSN 2221-0741

Volume: 3;
Issue: 3;
Start page: 56;
Date: 2013;
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Keywords: Negative selection | E-mail Classification | Algorithm | Self | Non-Self | Artificial Immune System | Classification accuracy.

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.

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