Method and system for generating website credit blacklist based on association analysis
A technology of correlation analysis and blacklist, which is applied in the field of network credit security and can solve the problem of no blacklist generation or update.
Inactive Publication Date: 2016-04-27
SHANGHAI JIAOTONG UNIV
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Problems solved by technology
But the defect and deficiency of this technology is that this method does not directly involve the network credit generation process of the website, nor does it give how to generate or update the blacklist
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Embodiment 1
[0037] Such as figure 1 shown. This system includes: a network association analysis module, a website credit blacklist generation module, and a website dishonesty event credit dynamic adjustment module, wherein: the network association analysis module analyzes the site collection W, forms a site association matrix M and outputs it to the website credit blacklist generation Module, the website credit blacklist generation module generates website credit blacklist B and the updated website credit set Cred according to the credit set Cred and the site association matrix M, and outputs the updated website credit set Cred to the website dishonesty event credit dynamic adjustment module , when a website credit warning occurs, the credit dynamic adjustment module of the website dishonesty event combines the updated website credit set Cred to generate a dynamically adjusted website credit set Cred, and feeds back to the website credit blacklist generation module, and the website credit...
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Provided is a website credit blacklist generating method and system based on relational analysis in the technical field of internet information safety. The method includes the steps that firstly, the correlation between websites is analyzed and a website associated dataset is generated, then a website credit blacklist is generated according to the website associated dataset, and dynamic adjustment is carried out on the website credit blacklist. When the website credit blacklist is generated, not only a single website credit value is processed independently, influences of the correlation between the websites on network credit are considered, and therefore the website credit blacklist generating method based on relational analysis is designed. Dynamic influences, generated after website credibility losing events, on website credit and associated websites are considered, and therefore a corresponding dynamic website credit blacklist adjusting method is designed. The website credit blacklist generating method can systematically generate a website credit blacklist, and can carry out dynamic adjustment on the website credit blacklist according to the website credibility losing events.
Description
technical field [0001] The present invention relates to a method and system in the technical field of network credit security, in particular to a method and system for generating a website credit blacklist based on correlation analysis. Background technique [0002] Existing website credit evaluation methods and systems tend to implement website credit evaluation in a static and isolated manner, and generate website credit blacklists, which have long intervals and lack of systematization. In terms of website credit evaluation methods, it is mainly to apply some traditional evaluation methods to website credit evaluation. Scholars at home and abroad have done some research in this area. XiuliCao applied AHP and gray scale theory to the credit evaluation of B2C e-commerce websites in the article "Research on Evaluation of BtoCE-commerce Website Based on AHP and Grey Evaluation". In the article "The Study of Credit Evaluation of Business Websites Using Support Vector Machines"...
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IPC IPC(8): H04L29/06
Inventor 张保稳孔国栋林祥李建华
Owner SHANGHAI JIAOTONG UNIV