E-mail system and method capable of preventing garbage E-mail

Abstract

This invention provides a mail system and a method, which can analyze received mails intelligently on PC of users and hold legal mails in an inbox automatically and stores rubbish mails in an isolation region or deletes them, an E-mail system anti-rubbish mails includes a server and multiple kinds of customer ends and an anti-rubbish mail subsystem including: a rubbish mail verifying code rule library set at the server end and customer ends, a rubbish-mail collecting module set at the server end, a module for picking up the verifying codes and an upgrade service end module, a mail monitor module set at the customer end, a match module and a management module of the verifying codes.

Description

technical field [0001] The invention relates to an e-mail technology, in particular to an e-mail system and method capable of safely filtering junk mails. Background technique [0002] According to the Internet Society of China's definition of spam, any one of the following four conditions can be called spam. [0003] 1. Promotional e-mails such as advertisements, electronic publications, and various forms of promotional materials that the recipient has not requested or agreed to accept in advance. [0004] 2. Emails that the recipient cannot reject. [0005] 3. E-mails that hide the sender's identity, address, title and other information. [0006] 4. E-mails containing false information sources, senders, routing and other information. [0007] With the popularity of the Internet, e-mail, as a basic service provided by the Internet, is also increasingly widely used. However, the accompanying spam is also becoming more and more rampant. According to the "Statistical Repo...

AI Technical Summary

Problems solved by technology

[0003] 1. Promotional e-mails such as advertisements, electronic publications, and various forms of promotional materials that the recipient has not requested or agreed to accept in advance

[0004] 2. Emails that recipients cannot reject

[0013] 1. The minimum rule universal matching library of anti-spam manufacturers needs to be compatible with all situations, so it cannot be comprehensive, with a small coverage and relatively small effect

[0014] 2. The user-defined rule base requires daily maintenance and continuous addition according to new situations. On the one hand, users need a learning process, and on the other hand, not all users are willing to do such daily finishing work. Different understandings of the spam rule base, it is impossible to be very professional in the addition of the rule base

[0015] 3. It is impossible to prevent the subsequent newly received spam that is not in the user-defined rule base. Since users can only update the rule base based on their own received mail, it is also impossible to identify unfamiliar spam

[0016] 4. Use statistical methods to automatically determine whether the received emails are spam emails, the misjudgment rate is high, and it often happens that some useful emails are misjudged as spam emails

Images