Edge node content auditing and filtering system and method

Abstract

The invention discloses an edge node content auditing and filtering system and method, and belongs to the technical field of the Internet. The invention discloses an edge node content auditing and filtering system. The system comprises a data acquisition module, a data analysis module, a database, a data auditing module, a detection module, an updating module and an output module. The invention further comprises an edge node content auditing and filtering method which comprises the following specific steps: S1, acquiring data at the edge node for transmission and storage; S2, carrying out screening, and carrying out auditing and sorting; S3, carrying out sensitive feature auditing, carrying out outputting, and filtering or intercepting the request; S4, according to the historical data, carrying out health detection on the edge node network environment by utilizing a naive Bayesian model; and S5, adjusting the sensitive characteristics according to the detection result, and purifying the network environment. According to the invention, the auditing efficiency is improved, the resource waste is reduced, the system self-inspection can be carried out, and the user is ensured to have ahealthy network environment all the time.

Description

Technical field[0001]The present invention relates to the technical field of the Internet, in particular to an edge node content auditing and filtering system and method.Background technique[0002]With the rapid development of Internet technology, the number of Internet users is increasing, and Internet hotspots emerge in an endless stream. While bringing convenience to users, the Internet is also full of a lot of sensitive information, such as bloody violence, anti-political speech, pornographic information, gambling fraud, advertising Wait. Therefore, how to filter the information requested or uploaded by users and create a healthy and safe network environment has become an important task in the current Internet technology.[0003]In a current common solution, the system filters the sensitive information uploaded or received by users in a large amount of user data according to the blacklist rules, and then detects and bans users. This method not only has high maintenance costs, but a...

AI Technical Summary

Problems solved by technology

[0003] In a current common solution, the system filters sensitive information uploaded or received by users from a large amount of user data according to blacklist rules, and then detects and bans users. It is too passive to maintain after spam has been generated

Moreover, in the process of content review, a large amount of data is not classified, and there is no priority review standard, resulting in users being unable to receive hotspot information at the first time, and there is a delay

At the same time, the system has no detection means, does not have a clear understanding of the current network environment, and has ambiguity in the control of sensitive features, which seriously affects the user experience and the normal operation of the network environment

Images