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Spam Filtering Based on the Analysis of Text Information Embedded Into Images

Tags:
network security

Overview In recent years anti-spam filters have become necessary tools for Internet service providers to face up to the continuously growing spam phenomenon. Current server-side anti-spam filters are made up of several modules aimed at detecting different features of spam e-mails. In particular, text categorisation techniques have been investigated by researchers for the design of modules for the analysis of the semantic content of e-mails, due to their potentially higher generalisation capability with respect to manually derived classification rules used in current server-side filters. This paper proposes an approach to anti-spam filtering which exploits the text information embedded into images sent as attachments. Their approach is based on the application of state-of-the-art text categorisation techniques to the analysis of text extracted by OCR tools from images attached to e-mails.

Further White Paper Details
Publisher	Universita degli Studi di Cagliari	File Format	PDF
Date Published	December 2006
Format	White Papers
Topics	Network Security, Email, Spam - E-mail Fraud - Phishing

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Channel:
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Tags:
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