A Weighting Model of Cybersecurity Parameters Used for Service Placement

IF 1.7 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Luan Gashi, A. Luma, M. Apostolova, Ylber Januzaj
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引用次数: 1

Abstract

Most cybersecurity frameworks are based on three major components such as confidentiality, integrity, and availability. All these components have their parameters that are used to secure network nodes. But finding the most cyber secure node in a network needs a measurement method. The aim of the paper is to offer a model that can be used to find the most secure network nodes considering these cybersecurity components and their parameters. This is achieved by modelling numeric values of respective weights for parameters of confidentiality, integrity, and availability. The model is applied to a simulated environment where random values standing for cybersecurity parameters are given to 30 wireless network nodes that are used as an example. Then the weighted values are processed with Python programming language by giving the most secure nodes according to needed cybersecurity components. This model can be used to recommend the right network node that can be used to deploy services securely while avoiding potential vulnerabilities and cyber-attacks.  
用于服务布局的网络安全参数加权模型
大多数网络安全框架基于三个主要组成部分,如机密性、完整性和可用性。所有这些组件都具有用于保护网络节点的参数。但是,要找到网络中最安全的节点,需要一种测量方法。本文的目的是提供一个模型,该模型可用于在考虑这些网络安全组件及其参数的情况下找到最安全的网络节点。这是通过对机密性、完整性和可用性参数的各个权重的数值进行建模来实现的。该模型应用于模拟环境,其中代表网络安全参数的随机值被提供给用作示例的30个无线网络节点。然后使用Python编程语言处理加权值,根据所需的网络安全组件提供最安全的节点。该模型可用于推荐正确的网络节点,用于安全部署服务,同时避免潜在的漏洞和网络攻击。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.00
自引率
46.20%
发文量
143
审稿时长
12 weeks
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