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Cybernetics and Systems Analysis

, Volume 53, Issue 3, pp 403–409 | Cite as

Synthesis of Algorithms for Recognition of Vulnerabilities in Web Resources Using Signatures of Fuzzy Linguistic Features

  • O. A. IliashovEmail author
Article
  • 22 Downloads

Abstract

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.

Keywords

fuzzy linguistic features recognition reference description signature 

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Copyright information

© Springer Science+Business Media New York 2017

Authors and Affiliations

  1. 1.Central Scientific and Research Institute of Armed Forces of UkraineKyivUkraine

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