Detection and Blocking of Image Spammers

Computer Engineering

Spammers continues to uses new methods and the types of email content becomes more difficult, text-based 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.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.