Seems, the spammer fraternity have to face new challenges in the near future. According to a latest update, researchers have proposed a new statistical framework for spam filtering. The new method can efficiently as well as quickly block unwanted mails from user’s inbox.
Intended to develop a new and efficient spam filtering method, scientists from the Concordia University have conducted a comprehensive study of several spam filters and a researcher Ola Amayri proposed a new method for spam filtering, trusted sources informed our team.
According to researcher Ola Amayri, “The new method for spam filtering is able to adapt to the dynamic nature of spam emails and accurately handle spammers' tricks by carefully identifying informative patterns, which are automatically extracted from both text and images content of spam emails”.
Amayri further added, “Although the new method has been tested on English spam emails, it could be easily extended to other languages also."
It is reportedly said that the new method has the capability to filter combination of text and images. However, until now majority of spam filtering methods either focus on text or images, but rarely both.
The new method is much stronger as it is based on techniques used in pattern recognition and data mining to filter superfluous email messages.
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