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DC Field | Value | Language |
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dc.contributor.author | Victor O., Waziri | - |
dc.contributor.author | Ismaila, Idris | - |
dc.contributor.author | Mohammed Bashir, Abdullahi | - |
dc.contributor.author | Hakimi, Danladi | - |
dc.contributor.author | Audu, Isah | - |
dc.date.accessioned | 2021-07-14T14:16:06Z | - |
dc.date.available | 2021-07-14T14:16:06Z | - |
dc.date.issued | 2013 | - |
dc.identifier.issn | 2221-0741 | - |
dc.identifier.uri | http://repository.futminna.edu.ng:8080/jspui/handle/123456789/9390 | - |
dc.description.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. | en_US |
dc.language.iso | en | en_US |
dc.publisher | World of Computer Science and Information Technology Journal (WCSIT) | en_US |
dc.relation.ispartofseries | ;56-59 | - |
dc.subject | Negative selection; E-mail Classification; Algorithm; Self, Non-Self, Artificial Immune System, Classification accuracy. | en_US |
dc.title | A Negative Selection Algorithm Based on Email Classification Techniques | en_US |
dc.type | Article | en_US |
Appears in Collections: | Cyber Security Science |
Files in This Item:
File | Description | Size | Format | |
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A Negative Selection Algorithm based email spam classification.pdf | A NEGATIVE SELECTION ALGORITHM BASED ON EMAIL CLASSIFICATION TECHNIQUES | 253.6 kB | Adobe PDF | View/Open |
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