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Junk email filtering system and method based on user behaviour classification

A spam filtering and user technology, applied in the field of mail gateways, can solve problems such as poor efficiency, unsatisfactory model detection rate and recall rate, etc., to achieve the effect of improving precision and recall rate and improving performance

Inactive Publication Date: 2016-10-12
HARBIN ENG UNIV
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AI Technical Summary

Problems solved by technology

However, this method has to perform topological similarity calculations for each incoming email, so it is not efficient in terms of efficiency.
At the same time, due to the limitations of some algorithms, the actual detection rate and recall rate of the model are not ideal

Method used

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  • Junk email filtering system and method based on user behaviour classification
  • Junk email filtering system and method based on user behaviour classification
  • Junk email filtering system and method based on user behaviour classification

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Embodiment Construction

[0023] The following examples illustrate the present invention in detail.

[0024] combine figure 1 , The spam filtering system based on user behavior classification of the present invention specifically includes the following components.

[0025] ① User behavior classification model,

[0026] ②Topological similarity filtering model.

[0027] Among them, the user behavior classification model includes a user behavior classifier and a user type determiner; the topological similarity filtering model includes a topological similarity filter and an auxiliary filter. Auxiliary filter The filter is used to directly filter a given email, here is a fingerprint filter based on the feature extraction of the email header.

[0028] The spam filtering method based on user behavior classification of the present invention is:

[0029] 1) After the mail arrives, extract the sender of the mail as user information.

[0030] 2) Enter the user type determiner to determine whether the user is...

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Abstract

The invention provides a junk email filtering system and method based on user behaviour classification. The junk email filtering system comprises a user behaviour classification module, a topological comparability filtering module and an email processing module; the user behaviour classification module comprises a user behaviour classifier and a user type judger; and the topological comparability filtering module comprises a topological comparability filter and an auxiliary filter. The model provided by the invention can effectively extract normal users and junk users according to user sending behaviour characteristics; the number of emails in need of being deeply filtered is reduced; the performance of an email gateway system is improved; and simultaneously, the overall precision rate and the recall rate can be increased.

Description

technical field [0001] The invention relates to a mail gateway, mainly a junk mail filtering system and method. Background technique [0002] With the continuous growth of Internet traffic, traditional spam identification technology is difficult to cope with today's high-speed network environment. Most of the traditional technologies require in-depth analysis of the content of each email, which not only consumes time when parsing emails, but also requires a lot of calculations when filtering. [0003] The Simple Mail Transfer Protocol (SMTP) session-based spam rejection scheme uses a 3-layer email pre-classification technique to estimate the email class before an SMTP session ends. By studying the use of discrete-time Markov chains to analyze spam rejection schemes and analyzing the performance of the proposed scheme under different email traffic loads and service capabilities. This solution reduces the amount of e-mails to be queued and processed by the e-mail server, the...

Claims

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Application Information

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IPC IPC(8): H04L29/06H04L12/58
CPCH04L63/0263H04L51/42H04L51/212
Inventor 玄世昌杨武王巍苘大鹏朱宇
Owner HARBIN ENG UNIV
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