REVIEW OF QUANTITATIVE METHODS FOR ASSESSING RESILIENCE IN COMPUTER NETWORKS

TITLE
REVIEW OF QUANTITATIVE METHODS FOR ASSESSING RESILIENCE IN COMPUTER NETWORKS

AUTHOR(S)
Erkan Salimov Yakubov1, Plamen Stanchev2

ABSTRACT
The paper presents a review of quantitative methods for assessing resilience in computer networks. The concept of network resilience is analyzed in terms of its relationship to reliability, robustness, and fault tolerance. Various groups of methods are discussed, including probabilistic, graph-based, and simulation approaches, as well as modern artificial intelligence models for resilience evaluation. Comparative analysis highlights the advantages and limitations of each class of methods and their applicability to different network architectures. The aim of the study is to provide a structured overview and framework for selecting an appropriate quantitative evaluation method depending on network topology, performance requirements, and external risk factors. Keywords: resilience, reliability, computer networks, quantitative assessment, fault tolerance, artificial intelligence.

DOI

 

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How to cite this article:
Erkan Salimov Yakubov1, Plamen Stanchev2, REVIEW OF QUANTITATIVE METHODS FOR ASSESSING RESILIENCE IN COMPUTER NETWORKS, UNITECH – SELECTED PAPERS - 2025