A Method for Constructing Sensitive Information Templates in Network Content Security Management

Abstract

The invention discloses a sensitive information template construction method in network content safety management. According to the method, the generation speed of a template can be increased, and the accuracy of the sensitive information template in the semantic expression aspect of text messages can be improved. The genetic algorithm is adopted in the method for carrying out template construction, according to the set portioning length K, each individual chromosome coding string in a current population is partitioned from left to right according to the code bit, and interlace operation and mutation operation are carried out on each chromosome with a partition as the unit.

Description

technical field [0001] The invention belongs to the field of network content security, in particular to a sensitive information template construction method in network content security management. Background technique [0002] With the continuous expansion of the scale of the network, the network is playing an increasingly important role in social life. It has not only become a medium for people to chat and make friends and entertainment, but also has become the main channel for people to obtain information, especially new types of communication such as Weibo and WeChat. The development of the form is mature, and the Internet is increasingly becoming an important platform for people to freely communicate and express their wishes. However, the convenience and casualness of network information dissemination has become increasingly prominent. There are not only a lot of progressive, healthy and beneficial information on the network, but also a lot of vulgar, gray, violent and f...

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Problems solved by technology

[0006] However, there are very few studies on introducing genetic algorithms into sensitive information template generation, and they mainly focus on feature selection and the practical application of applying genetic algorithms to generate templates. Construct the initial user template and carry out adaptive learning of the user template based on the genetic algorithm, but the existing problem is that the effect of the system filtering in the early stage is not satisfactory; in addition, Liu Yuguo et al. of Shandong University proposed a sensitive information based on the genetic algorithm The filtering method, which comprehensively utilizes the filtering template and the document characteristic calculation method, improves the accuracy of sensitive information filtering to a certain extent, but there are problems such as slow generation of filtering templates and easy to fall into local optimum

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