Spam detection is a significant problem which is considered by many researchers by various developed strategies. The best and main spam detection technique should consider and scan the content of the messages to find spam. This research concerns the development of the certain category of granular computing as a classifier for spam detection. In this research, Fuzzy Granular Computing Classifica...

This paper proposes a novel behavior-based anti-spam technology for email service based on an artificial immune-inspired clustering algorithm. The suggested method is capable of continuously delivering the most relevant spam emails from the collection of all spam emails that are reported by the members of the network. Mail servers could implement the anti-spam technology by using the “black lis...

Statistical spam filters are known to be vulnerable to adversarial attacks. One of the more common adversarial attacks, known as the good word attack, thwarts spam filters by appending to spam messages sets of “good” words, which are words that are common in legitimate email but rare in spam. We present a counterattack strategy that attempts to differentiate spam from legitimate email in the in...

Unsolicited commercial email, commonly referred to as spam, is now recognized as a major problem causing considerable costs (e.g., [Ferris Research 03]) and impacting on how people use email (e.g., [Fallows 03]). Anti-spam measures, such as email filters and server-based block lists, have become ubiquitous. There is a growing body of empirical and anecdotal evidence suggesting that apart from t...

Economic lifting has made email spam a scathing threat to the society due to its related exploits. Many spam detection schemes have been proposed employing the tendency of spam to alter the normal statistical behavior of mail traffic. Threshold tuning of these detectors is still a challenging task. Since, shooting down benign emails as spam (false positive), in pursuit of higher detection rates...

Spam text is an universal phenomenon on the “open web”, including large-scale email systems and the growing number of Blogs. Handling this information overload is becoming an increasingly challenging problem, A promising approach is the using of content-based filtering. In this paper, our focus is placed on finding effective dimension reduction method for email Spam filtering, we apply a superv...