January 2013

Researchers from the Concordia University in the third week of November 2012 proposed statistical structure for filtering the spam which can efficiently and swiftly block the unnecessary messages in the inbox of your email account. Researchers had conducted a full-fledged study for various spam filters while preparing the efficient and new one. According to researcher Ola Amayri, the new approaches of the spam filtering can adapt to active nature of the spams. It can also handle the tricks of spammers accurately by knowing the informative patterns which are extracted automatically from content, both images as well as text of spams. As of now, the only focus of email spam filteration was that on the text content and not on the images.

When the tricks are being used in combined format, spam filters become helpless to curtail these messages since they focus on one of the content- either images or text but hardly on both of them. Majority of the previous researches had their focus on textual content associated with the spams. According to Amayri, by keeping into consideration the patterns from the images as well as text, a new filtering method for spams was discovered.

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