Abstract
If there are pros, corns are always there. As email becomes a part of individual’s need in our busy life with its benefits, it has negative aspect too by means of email spamming. Nowadays images with embedded text called image spamming have been used by the spammers as effective text spam filtering methods already been introduced. Tracking and stopping spam become challenge in the internet world because of versatility in the spam images. In this paper a novel model AFSIF (Autonomous Fuzzy Spam Image Filter) has been introduced. The basic idea behind AFSIF is, an spam image can combine several basic features of different spam images, so feature fusion weight of the image has been generated, which keeps combined feature of spam images and user preference as well. Here user preference has not been applied separately; it is used to calculate the fusion weight in terms of predefined topics (rule table).
Highlights
As internet comes under the reach of majority of the people the email becomes the cheapest and effective way of advertisement
Spammers are using this medium by sending unwanted email message through junk email, earlier textbased spam emails have been used but to by-pass the conventional email filtering technique they are using imagebased spam
The use of computer vision and pattern recognition techniques has been investigated in recent years and several text-based spam image filtering methods have been developed
Summary
As internet comes under the reach of majority of the people the email becomes the cheapest and effective way of advertisement Spammers are using this medium by sending unwanted email message through junk email, earlier textbased spam emails have been used but to by-pass the conventional email filtering technique they are using imagebased spam. If image has been declared as spam by the user from inbox at the same time according to the similarity measure the spam image is associated with the closest cluster training data set. In this method user will experience negligible number of spam email because in second stage the fusion weight of the image contains user predefined topics.
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