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Method of filtering junk mail and apparatus thereof, and mail server

A spam and garbage technology, applied in the field of communications, can solve problems such as the increase of misjudgments or missed judgments of spam, defects in spam filtering technology, etc. effect of means

Active Publication Date: 2017-09-15
彩讯科技股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the characteristics of spam will continue to change, resulting in defects in traditional spam filtering technology, and the possibility of misjudgment or missed judgment of spam is greatly increased.

Method used

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  • Method of filtering junk mail and apparatus thereof, and mail server
  • Method of filtering junk mail and apparatus thereof, and mail server
  • Method of filtering junk mail and apparatus thereof, and mail server

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0031] figure 1 It is a flow chart of a method for filtering emails provided in Embodiment 1 of the present invention. The method can be executed by a device for filtering spam. The device is configured in a junk server and can be implemented by hardware and / or software. The method may include the steps of:

[0032] Step 110: Perform pre-judgment on the newly received email according to the first rule included in the preset rule base, and obtain the reference spam score of the email.

[0033] Wherein, the first rule in the preset rule base can be generated by applying the set spam filtering technology to judge the email, and can also be freely expanded by R&D and operation and maintenance personnel according to needs. Among them, the set spam filtering technology includes IP filtering, reverse domain name resolution, sending frequency, user black and white list, keywords, email content, real-time blacklist, user behavior, email characteristics and other filtering technologies...

Embodiment 2

[0053] figure 2 It is a flowchart of a method for filtering emails in Embodiment 2 of the present invention. Such as figure 2 As shown, the method includes:

[0054] Step 201, the anti-spam engine receives the email.

[0055] Step 202, judge through the garbage filtering technology.

[0056] The anti-spam engine uses pre-configured spam filtering technology to judge newly received emails.

[0057] Step 203, generating a first rule.

[0058] The result of the anti-spam engine using the pre-configured spam filtering technology to determine the newly received mail is to generate the first rule corresponding to the spam filtering technology. Since each first rule has a spam score set, the reference score of the email can be preliminarily determined according to the spam score corresponding to the first rule. In addition, the source of the first rule can also be generated by the anti-spam engine after free configuration by R&D personnel or operation and maintenance personne...

Embodiment 3

[0080] image 3 It is a schematic structural diagram of a mail filtering device in Embodiment 3 of the present invention. The device is configured in a mail server, and executes the method for filtering mail provided in the above embodiments. Such as image 3 As shown, the device may include: an email pre-judgment module 310 , an acquisition module 320 , a calculation module 330 , a spam score determination module 340 and a spam judgment module 350 .

[0081] The email pre-judgment module 310 is used to pre-judge newly received emails according to the first rule included in the preset rule base, and obtain the reference junk score of the emails;

[0082]An acquisition module 320, configured to acquire a first spam probability value generated by training the first rule using historical emails as training samples for machine learning;

[0083] The calculation module 330 is configured to calculate a second spam probability value of the mail according to the first spam probabil...

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PUM

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Abstract

Embodiments of the invention disclose a method of filtering a junk mail and an apparatus thereof, and a mail server. The method comprises the following steps of through a first rule included by a preset rule base, predetermining a newly-received mail and acquiring a reference junk score of the mail; acquiring a training sample and training the first rule so as to generate a first junk probability value, wherein a historical mail is taken as the training sample of machine learning; based on a cluster algorithm, according to the first junk probability value, calculating and acquiring a second junk probability value of the mail; according to a value range of the second junk probability value, generating a corresponding polymerization rule, and carrying out data mining on the polymerization rule so as to acquire a junk score corresponding to the polymerization rule; and according to a sum of the reference junk score and the junk score, determining whether the mail is the junk mail and solving a problem of misjudgment or missed sanction of the junk mail. A capability for an anti-junk engine to filter the junk mail can be increased and a possibility of misjudgment or missed sanction of the junk mail is reduced.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of communications, and in particular to a method, device and mail server for filtering spam. Background technique [0002] With the rapid increase of network users, sending and receiving emails has become the main means for users to communicate and contact. Since a large number of emails can be sent to one or more users in a short period of time without prior consent of users, emails provide a low-cost and wide-ranging communication platform for advertising; it is precisely because of this illegal interest that in recent years Spam is growing rapidly, so there is an urgent need for an effective way to filter spam. [0003] The core problem of email filtering is how to use known email text data sets to build a text classification model, and then use this model to distinguish email types, thereby filtering out spam. Since spam filtering is actually a binary classification problem, a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/58
CPCH04L51/212H04L51/42
Inventor 杨良志刘再元汪志新丁德平
Owner 彩讯科技股份有限公司