Computer network defensive strategy conversion-oriented semantic similarity detection system

Abstract

The invention discloses a computer network defensive strategy conversion-oriented semantic similarity detection system, which comprises a defensive strategy configuration module, a strategy statement processing module, a node-link configuration module, a lexical and syntax analyzing module, a measure statement processing module, a structural similarity calculating module, a key concept pair matching module, a concept similarity calculating module, a CND strategy and measure body module and a similarity accumulation calculating module. A traditional symbol description-based strategy conversion system can only detect lexical and syntax errors before and after conversion, and hardly detects semantic inconsistency before and after strategy conversion comprehensively and automatically. By employing the semantic similarity processing method, the semantic similarity detection system automatically and effectively measures semantic difference before and after the computer network defensive strategy conversion, provides a basis for accurately deploying network defensive measures for semantics, is mainly applied to a computer network defensive system, deploys defensive measures according to a certain condition based on large-scale network attack, and rapidly and effectively fulfills the aim of large-scale defensive measure deployment.

Description

technical field [0001] The invention relates to a semantic similarity detection system in the computer field, more particularly, a semantic similarity detection system oriented to computer network defense strategy conversion. Background technique [0002] Computer network defense (CND for short) refers to the use of computer networks to protect itself, detect and respond to unauthorized behavior, and restore the protected entity. Computer network defense strategy refers to the rules for computer network and information systems to choose defense measures according to certain conditions in order to achieve specific security goals. Traditional defense strategy conversion based on description language generally includes language lexical and grammatical analysis and semantic detection of type consistency, and few complete and automatic detection of semantic consistency (semantic similarity) before and after policy refinement . [0003] The term semantic similarity comes from th...

AI Technical Summary

Problems solved by technology

The present invention adopts the comparison method of semantic similarity to process the text files before and after CND policy conversion, can effectively locate the semantic missing points existing in the specific conversion process, and overcomes the difficulty of automatic detection of semantic consistency after policy refinement defect

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