In recent years, there has been considerable interest among people to use short message service (SMS) as one of the essential and straightforward communications services on mobile devices. The increased popularity of this service also increased the number of mobile devices attacks such as SMS spam messages. SMS spam messages constitute a real problem to mobile subscribers; this worries telecomm...

You have probably received spam e-mail solicitations from previously unknownpublishers inviting you to submit amanuscript to one of their journals, join an editorial board, or, perhaps, complete an ad hoc peer review of a scholarly manuscript. In fact, if you are like most researchers in the biomedical sciences, you have probably received such e-mails on a daily basis. Most of these spam e-mail...

This paper utilized the performance of the rule-based filter for detecting Arabic alert e-mail. Alert e-mails are those e-mails related to criminal or terrorist activities which are of a great interest for both security agencies and people. A set of Arabic e-mails have been collected, pre-processed, and normalized. The useful features were extracted from the collected e-mails by involving categ...

Just as email spam has negatively impacted the user messaging experience, the rise of Web spam is threatening to severely degrade the quality of information on the World Wide Web. Fundamentally, Web spam is designed to pollute search engines and corrupt the user experience by driving traffic to particular spammed Web pages, regardless of the merits of those pages. In this paper, we identify an ...

Many E-mail clients allow their users to define rules for filtering. However, any user that keeps a large amount of E-mails will find it is difficult to maintain such a set of rules. This paper presents a mail classification system for Chinese mails. We use different classifiers for different feature sets, and combine some classifiers to classify the mails. We embed our email classifier in a ma...

Spam is an unwanted email that is harmful to communications around the world. Spam leads to a growing problem in a personal email, so it would be essential to detect it. Machine learning is very useful to solve this problem as it shows good results in order to learn all the requisite patterns for classification due to its adaptive existence. Nonetheless, in spam detection, there are a large num...