Fraud website detection method

A detection method and website technology, applied in the field of detection of websites containing fraudulent information, can solve problems such as uneven resource allocation, inability to effectively identify new types of fraudulent websites, etc., so as to improve accuracy, improve detection speed, and save system resources. Effect

Inactive Publication Date: 2017-05-31
CHONGQING UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0003] For the common blacklist filtering technology, using the collection of fraudulent websites as a database, and then using it to match the similarity of new webpages to judge fraudule

Method used

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  • Fraud website detection method
  • Fraud website detection method
  • Fraud website detection method

Examples

Experimental program
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Example Embodiment

[0021] The present invention will be further described below in conjunction with the drawings and embodiments:

[0022] Such as figure 1 As shown, the present invention starts at step S10, and obtains a website uniform resource locator URL;

[0023] When visiting a website, the system obtains the URL to be detected (Uniform Resource Locator). For example, when a user accesses or downloads an Internet resource, the system obtains the value of the network address to be detected. The URL, the value of the URL is not limited by the present invention.

[0024] Step S101, according to the obtained website uniform resource locator URL, matching in the existing website database of the system, if the obtained website URL does not exist in the database, go to step S102; if it exists in the database, go to step S60 exit the program;

[0025] The website database is obtained by continuous learning and increase of the system. The website database includes two types of fraudulent websites and trus...

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Abstract

The invention discloses a fraud website detection method. The method comprises steps as follows: URLs (uniform resource locators) of websites are acquired, whether the websites are in existing website databases is detected, classified detection is performed according to website traffic ranking values, detection items include domain name matching, website titles, website page content, website DOMs (document object models) and fraud information in page images, corresponding influence factors are acquired, the influence factors are subjected to weighted summation, a security coefficient is calculated and compared with a set threshold value, the to-be-detected websites are divided into fraud websites and credible websites, and the lower the website traffic ranking is, the more the detection items are set. The method has the advantages that the fraud websites which are not recorded in a blacklist can be identified accurately and rapidly, and system resources can be distributed reasonably.

Description

technical field [0001] The invention relates to the field of network security, in particular to a method for detecting websites containing fraudulent information. Background technique [0002] Today, with the rapid development of information technology, the number of Chinese netizens is increasing year by year, but for most netizens who lack security awareness, fraudulent websites infringe on people's property safety is a serious problem. Internet fraud refers to a fraudulent spam that claims to be from a regular or well-known organization, or imitates a regular website page, etc., intending to lure the recipient to give sensitive information (including but not limited to account number, password, credit card information, etc.) a form of attack. Fraudulent websites can highly imitate real websites to trick users into entering account passwords, or they can be websites that endanger people's property safety with fraudulent information such as winning prizes, gambling, and fa...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/9566
Inventor 刘岳刘剑峰盛杰尹成语杨吉云
Owner CHONGQING UNIV
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