Intelligent multilevel junk email filtering method

Abstract

The invention discloses an intelligent multilevel junk email filtering method. By the method, a conventional information gain algorithm is improved by utilizing the distribution information of characteristic items and dependence on data in a system training process is reduced, thereby improving the email content analysis capability of a system; a misjudgment rate for normal emails is reduced and the problem of email content semantic information loss is solved; and a weighted-support-vector-machine-based classification method is put forward for the problem of normal email misjudgment in a junk email filtering process, and in the method, two classes of email class weights and weights reflecting the importance of each email are added, and training is performed by utilizing a support vector machine classifier to obtain a junk email filter. In the method, an intelligent multilevel junk email filtering platform is constructed by integrating a plurality of filtering technologies such as Internet protocol (IP) address and domain name system (DNS) blacklists, subject and attachment keyword filtering, email body content filtering, attachment text content filtering and the like.

Description

technical field [0001] The invention belongs to the field of information technology, relates to the classification and filtering of junk mails, in particular to a multi-level intelligent filtering method of junk mails. Background technique [0002] With the development and popularization of the Internet, e-mail has brought great convenience to people's work and life, but at the same time, uninvited spam has also caused great trouble to people. The proliferation of spam not only occupies a large amount of bandwidth and seriously wastes network resources, but also becomes the target of hackers and the way of virus transmission, which brings great security risks. [0003] At present, there is still no uniform and clear definition of spam in the world, although spam is usually defined as: Unsolicited Bulk Email (UBE, unsolicited bulk email) or Unsolicited Commercial Email (UCE, unsolicited commercial email) e-mail), this is because the judgment results of the same e-mail may be...

AI Technical Summary

Problems solved by technology

At present, most mail filtering systems have considered the problem of checking too much, and the filtering level is mostly IP or dynamic IP level, resulting in misjudgment of users' normal mail

[0011] (2) Semantic information loss problem

[0013] (3) Lack of an overall solution for spam filtering

And this kind of global filtering solution is exactly what the current mail filtering system lacks

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