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- Title
A Negative Selection Algorithm Based on Email Classification Techniques.
- Authors
Onomza Waziri, Victor.; Idris, Ismaila; Danladi, Hahimi; Isah, Audu; Bashir Abdullahi, Mohammed
- Abstract
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.
- Subjects
PREVENTION of spam email; EMAIL; ALGORITHMS; DATA compression; ARTIFICIAL neural networks; MACHINE learning
- Publication
World of Computer Science & Information Technology Journal, 2013, Vol 3, Issue 3, p56
- ISSN
2221-0741
- Publication type
Article