Two Approaches on Implementation of CBR and CRM Technologies to the Spam Filtering Problem

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Provided by: Scientific Research
Topic: Security
Format: PDF
Recently the number of undesirable messages coming to e-mail has strongly increased. As spam has changeable character the anti-spam systems should be trainable and dynamical. The machine learning technology is successfully applied in a filtration of e-mail from undesirable messages for a long time. In this paper it is offered to apply case based reasoning technology to a spam filtering problem. The possibility of continuous updating of spam templates base on the bases of which new coming spam messages are compared, will raise efficiency of a filtration.
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