Near Duplicate Matching scheme for E-mail Spam Detection using Spam Trees
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Abstract
One of the major problems that the users of Email in the internet are facing is spam mails or e-mail spam. In recent years there are so many schemes are developed to detect the spam emails. The basic idea is to have a similarity matching scheme for spam detection by maintaining a known spam database, formed by users feedback, to block the subsequent near-duplicate spam’s. We propose a novel e-mail abstraction scheme, which considers e-mail layout structure to represent e-mails using HTML content in email which effectively captures the near duplicate phenomenon of Spam mails. To detect near duplicates and duplicate spam mails faster, we propose a new approach SimHash.
Keywords: Spam mails, Emails, Near Duplicate, SimHash, Spam Trees
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