Method, server and system for automatic rating of website trustworthiness

Abstract

The invention discloses a method, a server and a system for automatic rating of website trust degree. The method includes: when the website URL is triggered, intercepting the website and detecting it; counting the malicious and non-malicious URLs of the website in a predetermined time period The number of visits is saved to the database; the records in the database are read, and the average trust degree of the website is calculated according to the weighted statistics of website visits in the current predetermined time period and historical statistics. The invention can identify the trustworthiness of the website timely and effectively, and improve the safety of network use.

Description

Technical field [0001] The present invention relates to the field of Internet technology, in particular to a method, server and system for automatically rating website trust. Background technique [0002] At present, the index of website rating focuses on the measurement of website popularity, including: Google's PageRank ranking and Alexa website ranking, among which: [0003] The basic idea of ​​Google's PageRank ranking is that the popularity of a website is directly proportional to the number of websites that link to the website and the popularity of the website itself. The specific calculation formula is as follows: [0004] [0005] Where PR(u) is the PageRank value of website u, L(u) is the collection of webpages pointing to webpage u, N(v) is the number of outbound links to webpage v, and d is the attenuation factor, with a value between 0 and 1. Time, usually 0.85. [0006] Alexa website ranking is to determine the popularity of a website by cumulatively calculating the num...

AI Technical Summary

Problems solved by technology

However, such methods of identifying websites through black and white lists usually have significant limitations:

[0009] First of all, its scope of application is relatively small, mainly for profit-making corporate sites, while personal sites and non-profit sites do not have enough motivation to pay for such certification;

[0010] Secondly, the security information of websites that have not applied for certification is unknown, which cannot help users effectively distinguish malicious websites from safe websites;

[0011] In addition, even websites that have passed verification may still be frequently attacked by hackers, or their pages have been tampered with to publish false information. Therefore, simple manual authentication cannot respond to dynamic changes in website content in a timely manner.

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