Dynamic analysis and optimal control of worm propagation model with saturated incidence rate

被引:1
作者
Wang, Ruiling [1 ]
Xue, Yakui [1 ]
Xue, Kailin [2 ]
机构
[1] North Univ China, Sch Math, Taiyuan, Peoples R China
[2] Univ South Australia, Dept Math, Adelaide, SA, Australia
基金
中国国家自然科学基金;
关键词
computer worms; saturation incidence rate; stability analysis; sensitivity analysis; optimal control; numerical simulation; COMPUTER VIRUS PROPAGATION; STABILITY ANALYSIS; EPIDEMIC MODEL; SPREAD;
D O I
10.3389/fphy.2022.1098040
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
In order to prevent the propagation of computer worms effectively, based on the latent character of worms, the exposed compartments of computer and USB device are introduced respectively, and a series of computer worm propagation models with saturation incidence rate are proposed. The qualitative behavior of the proposed model is studied. Firstly, the threshold R (0) of the model is derived by using the next-generation matrix method, which completely characterized the stability of disease free equilibrium and endemic equilibrium. If R (0) < 1, the disease free equilibrium is asymptotically stable, implying that the worm dies out eventually and its attack remains under control; if R (0) > 1, the asymptotic stability of endemic equilibrium under certain conditions is proved, which means that the worm is always persistent and uncontrollable under such conditions. Secondly, the theoretical results are verified by numerical study, in which the relative importance of each parameter in worm prevalence is evaluated by sensitivity analysis. Finally, so as to minimize the number of computer and USB device carrying computer worms in short span of time, the worm propagation model is extended to incorporate three control strategies. The Pontryagin's maximum principle is used to characterize the controls' optimal levels. According to the control effect diagram, the combined strategy is effective in minimizing the transmission dynamics of worm virus in computer and USB devices populations respectively.
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页数:14
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共 41 条
  • [1] A delay differential model for pandemic influenza with antiviral treatment
    Alexander, Murray E.
    Moghadas, Seyed M.
    Rost, Gergely
    Wu, Jianhong
    [J]. BULLETIN OF MATHEMATICAL BIOLOGY, 2008, 70 (02) : 382 - 397
  • [2] An overview of existing modeling tools making use of model checking in the analysis of biochemical networks
    Carrillo, Miguel
    Gongora, Pedro A.
    Rosenblueth, David A.
    [J]. FRONTIERS IN PLANT SCIENCE, 2012, 3
  • [3] Castillo-Chavez C., 2002, MATH APPROACHES EMER, V126
  • [4] Parameter estimation of a susceptible-infected-recovered-dead computer worm model
    Deng, Yue
    Pei, Yongzhen
    Li, Changguo
    [J]. SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL, 2022, 98 (03): : 209 - 220
  • [5] Stability analysis and control strategies for worm attack in mobile networks via a VEIQS propagation model
    Gao, Qingwu
    Zhuang, Jun
    [J]. APPLIED MATHEMATICS AND COMPUTATION, 2020, 368
  • [6] A mathematical model for a distributed attack on targeted resources in a computer network
    Haldar, Kaushik
    Mishra, Bimal Kumar
    [J]. COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2014, 19 (09) : 3149 - 3160
  • [7] Study of the stability of a SEIRS model for computer worm propagation
    Hernandez Guillen, J. D.
    Martin del Rey, A.
    Hernandez Encinas, L.
    [J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2017, 479 : 411 - 421
  • [8] Dynamics and Control of Worm Epidemic Based on Mobile Networks by SEIQR-Type Model with Saturated Incidence Rate
    Hu, Rui
    Gao, Qingwu
    Wang, Bairong
    [J]. DISCRETE DYNAMICS IN NATURE AND SOCIETY, 2021, 2021
  • [9] Numerical and theoretical analysis of Rabies model under the harmonic mean type incidence rate
    Khan, Amir
    Zarin, Rahat
    Ahmed, Iftikhar
    Yusuf, Abdullahi
    Humphries, Usa Wannasingha
    [J]. RESULTS IN PHYSICS, 2021, 29
  • [10] Stability analysis of leishmania epidemic model with harmonic mean type incidence rate
    Khan, Amir
    Zarin, Rahat
    Inc, Mustafa
    Zaman, Gul
    Almohsen, Bandar
    [J]. EUROPEAN PHYSICAL JOURNAL PLUS, 2020, 135 (06)