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The detected of spam messages in terms that better having a spam email in the inbox than a ham message in the junk, has been investigated recently. The main contribution of the paper consists in comparing three antispam filters used more nowadays, and will find that which is filter is of the future. By using filters we will also create some patterns as the result of training with different number of emails. Simulations show that due to the trainging of the filters it will be easier to detect the spams.
Dr. Elma Zanaj. 2012. \u201cBayesiane filter for detecting a spam\u201d. Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 12 (GJCST Volume 12 Issue E10): .
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
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Total Score: 107
Country: Albania
Subject: Global Journal of Computer Science and Technology - E: Network, Web & Security
Authors: Dr. Elma Zanaj, Bledi Shkurti (PhD/Dr. count: 1)
View Count (all-time): 240
Total Views (Real + Logic): 10393
Total Downloads (simulated): 2586
Publish Date: 2012 06, Sat
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The detected of spam messages in terms that better having a spam email in the inbox than a ham message in the junk, has been investigated recently. The main contribution of the paper consists in comparing three antispam filters used more nowadays, and will find that which is filter is of the future. By using filters we will also create some patterns as the result of training with different number of emails. Simulations show that due to the trainging of the filters it will be easier to detect the spams.
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