Grade protection risk research and judgment method based on artificial neural network ANNs

Abstract

The invention relates to the technical field of computer information processing, and in particular relates to a grade protection risk research and judgment method based on an artificial neural network ANNs. The method quantifies grade protection risk research and judgment indexes, and mainly utilizes TSNE and ANNs methods to identify dimension reduction features of risk indexes distributed in multiple dimensions, so as to automatically obtain a corresponding risk value and a risk interval where the risk value is located; and meanwhile, expert knowledge is used for marking the action range and the risk resolution capability of risk resolution means such as safety equipment and safety management measures, the action range and the risk resolution capability automatically match output risk values and risk intervals, and an optimal safety protection scheme is obtained. According to the method, the mode that risk levels are obtained by traditional level protection risk research and judgment through a scoring table is broken through, the processing speed of the level protection risk research and judgment is greatly increased, automatic output of a safety protection scheme is achieved to a certain extent, and the defects that the efficiency of a traditional scoring table and manual research and judgment of an expert is low, and expert knowledge is difficult to reuse are overcome.

Description

technical field [0001] The invention relates to the technical field of computer information processing, in particular to a method for researching and judging graded protection risks based on artificial neural networks (ANNs). Background technique [0002] Network security graded protection (referred to as "level protection") refers to the graded protection of networks and information systems related to the national economy and people's livelihood according to their importance and actual security needs, and the implementation of graded management of security products used in networks and information systems. Information security incidents occurring in the network and information systems are responded and disposed of in different levels. It is the basic system, basic strategy, and basic method to ensure national network and information security. Network security levels are generally divided into five levels, including level one (self-protection level), level two (guidance pro...

AI Technical Summary

Problems solved by technology

However, the existing hierarchical protection risk research and judgment methods are still mainly based on manual research and judgment. Under the background that the scope of hierarchical protection has been greatly expanded, and the requirements for defense in depth and fine defense have been continuously deepened, the existing research and judgment methods have been unable to adapt

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