The Impact of Quarantine Strategies on Malware dynamics in a Network with Heterogeneous Immunity

IF 1.6 3区 数学 Q1 MATHEMATICS Mathematical Modelling and Analysis Pub Date : 2022-01-01 DOI:10.3846/mma.2022.14391
Salma M. Al-Tuwairqi, Walaa S. Bahashwan
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引用次数: 1

Abstract

. In this paper, we investigate the influence of two types of isolation on malware propagation within a computer network. Model 1 proposes the network quarantine strategy, where infected computers are fully disconnected from the network. As for model 2, the control strategy is the anti-virus software quarantine, where infected files in a computer are contained in an isolation folder. Both models consider the aspect of heterogeneous immunity, that is, weak and strong immunization of computers in a network. Analytical examinations produced a virus-free equilibrium and an endemic equilibrium for each model. It has been observed that the quarantine reproduction number R q plays an essential role in the existence and stability of the equilibrium points. Furthermore, numerical simulations are accomplished to substantiate the qualitative results. Finally, a sensitivity analysis is executed to specify the dominant parameters on R q . It is found that the performance of network quarantine is better than anti-virus software quarantine in controlling malware propagation.
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隔离策略对异构免疫网络中恶意软件动态的影响
。在本文中,我们研究了两种类型的隔离对恶意软件在计算机网络中的传播的影响。模型1提出了网络隔离策略,其中受感染的计算机与网络完全断开连接。对于模型2,控制策略是防病毒软件隔离,其中计算机中受感染的文件包含在隔离文件夹中。两种模型都考虑了异构免疫方面的问题,即网络中计算机的弱免疫和强免疫。分析性检查为每个模型产生了无病毒平衡和地方性平衡。观察到检疫繁殖数rq对平衡点的存在和稳定起着至关重要的作用。此外,还进行了数值模拟以证实定性结果。最后,进行了灵敏度分析以确定rq上的主导参数。研究发现,网络隔离在控制恶意软件传播方面优于杀毒软件隔离。
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
2.80
自引率
5.60%
发文量
28
审稿时长
4.5 months
期刊介绍: Mathematical Modelling and Analysis publishes original research on all areas of mathematical modelling and analysis.
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