A Survey on Detection and Blocking of Image Spammers
Citation
Vivek Khirasaria, Bhadreshsinh Gohil"A Survey on Detection and Blocking of Image Spammers", International Journal of Engineering Trends and Technology (IJETT), V30(1),29-32 December 2015. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Abstract
Spammers continues to uses new methods and
the types of email content becomes more difficult, textbased
anti-spam methods are not good enough to prevent
spam. Spam image making techniques are designed to
bypass well-known image spam detection algorithms like
optical character recognition (OCR) algorithm. As the use
different methods to create image spam are increased,
there must be an algorithm to prevent this type of spams. So
using the different properties of images attached in the mail
like width and height indicated in header of image, the
aspect ratio of width and height, file size, image area,
compression, owner, colors and file format of image. We
can develop an algorithm which is used to detect the spam
based images using the properties of the attached images.
Also it is maintains a database for email addresses of
spammers and blockthe email address based on result of
detection process.
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Keywords
Spam, Image Spam, Spammers.