SYNTHESIS OF ALGORITHMS FOR RECOGNITION OF VULNERABILITIES IN WEB RESOURCES USING SIGNATURES OF FUZZY LINGUISTIC FEATURES

O. A. Iliashov

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SYNTHESIS OF ALGORITHMS FOR RECOGNITION OF VULNERABILITIES IN WEB RESOURCES USING SIGNATURES OF FUZZY LINGUISTIC FEATURES

机译：利用模糊语言特征的特征综合识别Web资源中的漏洞的算法

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The paper formalizes the problem of fuzzy recognition of vulnerabilities in web resources that is set by a complex reference description in the form of signatures of intervals of the values of fuzzy linguistic features. The reference description and the mathematics of the theory of validation of complex statistical hypotheses were applied to synthesize multi-criteria object recognition algorithms using the minimax decision rule and the Bayesian maximum of a posteriori probability and maximum likelihood criteria.

机译：本文通过复杂的参考描述，以模糊语言特征值间隔的签名的形式，对网络资源中的漏洞进行模糊识别的问题进行了形式化。参考描述和复杂统计假设验证理论的数学方法用于使用极小极大决策规则和后验概率的贝叶斯极大和最大似然准则来综合多准则目标识别算法。

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来源
《Cybernetics and Systems Analysis》 |2017年第3期|403-409|共7页
作者
O. A. Iliashov;
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作者单位

Central Scientific and Research Institute of Armed Forces of Ukraine, Kyiv, Ukraine;

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收录信息美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类
关键词
fuzzy linguistic features; recognition; reference description; signature;

机译：模糊的语言特征;承认;参考说明;签名;

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SYNTHESIS OF ALGORITHMS FOR RECOGNITION OF VULNERABILITIES IN WEB RESOURCES USING SIGNATURES OF FUZZY LINGUISTIC FEATURES

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