We discuss a classification-based approach for filtering phishing messages in an e-mail stream. Upon arrival, various features of every e-mail are extracted. This forms the basis of a classification process which detects potentially harmful phishing messages. We introduce various new features for identifying phishing e-mail and rank established as well as newly introduced features according to ...

Government agencies are becoming increasingly dependent on e-mail systems as communication and information transfer tools. Many e-mail messages contain information vital to the business of government, and therefore organisations need to manage the messages in accordance with managerial, legal, and democratic requirements. On a daily basis, government employees send and receive numerous e-mails ...

Nowadays, e-mail has become one of the most widely used communication medium. Because of its characteristics of inexpensivity and rapidity in the delivery of messages, e-mail is increasingly used in place of ordinary mail. However, the e-mail service exposes users to several risks related to the lack of security during the message exchange. Furthermore, regular mail offers services which are us...

Web has gotten one of the essential civilities for everyday living. Each individual is generally getting to information specially E-mail and data through Web. Nonetheless, daze individuals face challenges in these content materials, likewise utilizing any help given The progression PC based available frameworks opened up numerous roads outwardly debilitated over globe a wide manner. Sound input...

A study of the impact spam messages and modern threats on process e-mail exchange in corporate information system was conducted. The role its influence systems has been studied. Peculiarities countermeasures technologies for protection against have On basis research carried out work, a Bayesian classifier developed filtering e-mails postal system.

We introduce a novel approach to incremental e-mail categorization based on identifying and exploiting “clumps” of messages that are classified similarly. Clumping reflects the local coherence of a classification scheme and is particularly important in a setting where the classification scheme is dynamically changing, such as in e-mail categorization. We propose a number of metrics to quantify ...

The present study investigates the effect of e-mail on Iranian learners of English and focuses on teaching thewriting skillvia e-mail. More specifically, the study investigates (a) whether using e-mail has any statistically significant effect on improving high school students' writing skill, and (b) whether the proficiency level has any relation with students’ writing improvement through using ...