at the present time, the high enlargement of spam e-mail is not easy to preclude and the spam is vastly stretch. These spam emails cause various problems to the Internet users, for instance full mailbox, and wasting time. Consequently, prodigious methods have been proposed but most of them have some limitations in mapping features and the processing times. Therefore, this paper proposed a novel method that can detect a set of image spam e-mail called a Partial Image Spam Inspector (PIMSI). The method focuses on spam that consists of both texts and images over the e-mail system. The significant feature of this technique is that it will sensitively protect the distribution of all messages which have a partial similarity of spam e-mail. As a result, users will have a green mailbox as wishes. Keywords-image spam e-mails; text spam e-mail; green mail.Definition 1: Image spam e-mail An image is classified as an image spam if and only if the following conditions are true more than one.
In the present time, the electronic mail is the most popular communication method of people around the world. However, the increasing of electronic mails is the beginning of a malevolent aftereffect e-mail. The transgressors have developed a set of codes that is the electronic bomb of the electronic mails passing through the communication line. As a result, various protection methods and software have been implemented. However, miscellaneous problems caused by spams still remain. Therefore, this paper proposed a novel method, called EMAS, to certify delivered mails. The benefits obtained from this system do not only solve the spam problem, but also untie the indirect effects from spams that no other methods have been missed.
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