Dynamical analysis and optimal control of a stochastic SIAR model for computer viruses

IF 2.8 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY
Xiangyun Shi, Tairui Zhang, Dan Zhou, Xueyong Zhou
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引用次数: 0

Abstract

Mathematical formulation of a stochastic computer viruses model with the application of optimal control and randomly noise transmission has been focused in this paper. For the ease of understanding, the model is divided into four different classes of susceptible, infected, antidotal and removed population. All four cases have been perturbed by the white noise. The existence and uniqueness for the global positive solution of the model are proved. The existence of the ergodicity of the stationary distribution is discussed by using the Lyapunov function and Has'minskii theory. The sufficient conditions for the extinction of the computer virus are presented. The optimal control strategies based on the least cost of prevention and control of computer viruses are carried out by using the stochastic maximum principle. The validity of the theoretical analysis results are verified by numerical simulation.

计算机病毒随机SIAR模型的动力学分析与最优控制
本文重点研究了一个应用最优控制和随机噪声传播的随机计算机病毒模型的数学公式。为了便于理解,该模型分为四类不同的易感人群、感染人群、解毒人群和去除人群。所有四个案例都受到了白噪声的干扰。证明了该模型全局正解的存在性和唯一性。利用李雅普诺夫函数和Has’minskii理论讨论了平稳分布遍历性的存在性。提出了消灭计算机病毒的充分条件。利用随机极大值原理,在计算机病毒防控成本最小的基础上,提出了最优控制策略。数值模拟验证了理论分析结果的有效性。
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
The European Physical Journal Plus
The European Physical Journal Plus PHYSICS, MULTIDISCIPLINARY-
CiteScore
5.40
自引率
8.80%
发文量
1150
审稿时长
4-8 weeks
期刊介绍: The aims of this peer-reviewed online journal are to distribute and archive all relevant material required to document, assess, validate and reconstruct in detail the body of knowledge in the physical and related sciences. The scope of EPJ Plus encompasses a broad landscape of fields and disciplines in the physical and related sciences - such as covered by the topical EPJ journals and with the explicit addition of geophysics, astrophysics, general relativity and cosmology, mathematical and quantum physics, classical and fluid mechanics, accelerator and medical physics, as well as physics techniques applied to any other topics, including energy, environment and cultural heritage.
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