Self-adaptive network security knowledge evaluation method based on cognitive diagnosis theory

Abstract

The invention discloses a self-adaptive network security knowledge evaluation method based on a cognitive diagnosis theory. The self-adaptive network security knowledge evaluation method based on thecognitive diagnosis theory comprises the following steps: S1, an evaluation system generates a network security knowledge graph according to the identity background of a user, and tests the user according to a preset sequence and a knowledge structure; S2, the test system generates a personal basic information database according to the personal identity background information uploaded by the userand a specific format; and S3, the test system traverses according to the structural sequence of the knowledge graph for item-by-item test, and accurate positioning of the knowledge level of the useris realized based on test question extraction of the corresponding difficulty standard. According to the method, a potential knowledge state is obtained through real-time feedback of a user in testing, and a novel cognitive diagnosis model PH-is utilized; And the real knowledge, skill level and corresponding short boards of the user are efficiently reasoned by the DINA, so that efficient and accurate education evaluation is realized, and the learning condition of the user is better reflected.

Description

technical field [0001] The present invention relates to the field of network security, in particular to an adaptive network security knowledge evaluation method based on cognitive diagnosis theory. Background technique [0002] In recent years, cyberattacks have occurred frequently. As the weak link in the cyberspace security chain, people suffer far more risks than technology, and the losses caused are also increasing. [0003] The current network security awareness assessment methods only have two relatively independent schemes: knowledge assessment and simulation assessment. In particular, knowledge assessment questions mainly use traditional examination methods such as group examination papers. This method is difficult to effectively determine the degree of knowledge mastery of the subjects. People with low levels can't answer difficult questions at all, and people with high levels can't measure their true level when they answer simple questions. In addition, the test r...

AI Technical Summary

Problems solved by technology

[0003] The current network security awareness assessment methods only have two relatively independent schemes: knowledge assessment and simulation assessment. In particular, knowledge assessment questions mainly use traditional examination methods such as group examination papers. This method is difficult to effectively determine the degree of knowledge mastery of the subjects. People with low skills can't answer difficult questions at all, and people with high skills can't measure their true level when they answer simple questions

In addition, the test results have very little guiding significance for personnel to improve their network security awareness and knowledge, and cannot accurately measure the shortcomings of personnel's network security awareness and knowledge, nor can they reflect the true strength of personnel's network security awareness

Images