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Research on algorithm recognition based on characteristic expression

机译:基于特征表达式的算法识别研究

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This paper focuses on methods and policies about algorithm recognition, which is turned to recognizing characteristic expression picked up as the distinguishable characteristics, in high-level language that is gained by code reverse analysis. With an eye to the expression in the high-level language recovered, this paper researches methods to recognize algorithm based on abstract syntax tree, and proposes two different policies, which are strict compatibility and anamorphic compatibility, to recognize characteristics expression aiming at recognizing algorithm in the target code, which is of great help to code analysis.
机译:本文着重研究了算法识别的方法和策略,转向了通过代码反向分析获得的高级语言中识别为可区别特征的特征表达。鉴于恢复的高级语言中的表达,本文研究了基于抽象语法树的算法识别方法,并提出了严格兼容和变形兼容两种不同的策略来识别特征表达式,旨在识别算法中的算法。目标代码,这对代码分析很有帮助。

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