Please wait a minute...
浙江大学学报(理学版)  2022, Vol. 49 Issue (5): 570-579    DOI: 10.3785/j.issn.1008-9497.2022.05.008
数学与计算机科学     
具有混合隔离策略的非线性计算机病毒传播模型的Hopf分岔研究
杨芳芳,张子振()
安徽财经大学 管理科学与工程学院,安徽 蚌埠 233030
Hopf bifurcation of nonlinear computer virus propagation model with hybrid quarantine strategy
Fangfang YANG,Zizhen ZHANG()
School of Management Science and Engineering,Anhui University of Finance and Economics,Bengbu 233030,Anhui Province,China
 全文: PDF(942 KB)   HTML( 2 )
摘要:

建立了考虑潜伏期时滞和临时免疫期时滞的具有混合隔离策略的非线性计算机病毒传播模型,旨在帮助理解计算机病毒在网络中的传播规律。通过计算模型基本再生数,以不同时滞组合为分岔参数,研究了模型的局部渐近稳定性;利用中心流形定理和规范型理论分析了Hopf分岔的方向和周期解的稳定性,并通过数值模拟验证了理论分析的正确性。研究结果可为计算机病毒治理提供理论依据。

关键词: 混合隔离策略时滞Hopf分岔数值模拟    
Abstract:

The establishment of a nonlinear computer virus propagation model with hybrid isolation strategy is helpful for understanding the propagation law of computer virus in the network. This paper proposes a new model which considers latency delay and temporary immune delay. Firstly, the basic regeneration number of the model is calculated. Then, the local asymptotic stability of the model is studied by taking the combination of different time delays as bifurcation parameters. Afterwards, the direction of Hopf bifurcation and the stability of periodic solution are calculated by using the central manifold theorem and normal form theory. The theoretical analysis is verified by numerical simulation. The research results can provide a theoretical basis for the treatment of computer virus in the future.

Key words: hybrid quarantine strategy    time delay    Hopf bifurcation    numerical simulation
收稿日期: 2021-03-15 出版日期: 2022-09-14
CLC:  TP 309  
基金资助: 国家自然科学基金资助项目(12061033)
通讯作者: 张子振     E-mail: zzzhaida@163.com
作者简介: 杨芳芳(1997—),ORCID:https://orcid.org/0000-0002-5375-7133,女,硕士研究生,主要从事动力系统稳定性、分岔研究.
服务  
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章  
杨芳芳
张子振

引用本文:

杨芳芳,张子振. 具有混合隔离策略的非线性计算机病毒传播模型的Hopf分岔研究[J]. 浙江大学学报(理学版), 2022, 49(5): 570-579.

Fangfang YANG,Zizhen ZHANG. Hopf bifurcation of nonlinear computer virus propagation model with hybrid quarantine strategy. Journal of Zhejiang University (Science Edition), 2022, 49(5): 570-579.

链接本文:

https://www.zjujournals.com/sci/CN/10.3785/j.issn.1008-9497.2022.05.008        https://www.zjujournals.com/sci/CN/Y2022/V49/I5/570

图1  当τ1=3.005 1∈0,τ10,τ2=0时,H*局部渐近稳定
图2  当τ1=4.199 0>τ10,τ2=0时,示例模型产生Hopf分岔
1 中国互联网络信息发展中心. 第49 次中国互联网络发展状况统计报告[EB/OL].(2022-02-25). . doi:10.1515/htm-2022-0008
China Internet Network Information Center. The 49th Statistical Report on China's Internet Development[EB/OL]. (2021-02-25).. doi:10.1515/htm-2022-0008
doi: 10.1515/htm-2022-0008
2 国家信息中心, 北京瑞星网安技术股份有限公司. 2021年中国网络安全报告[EB/OL]. (2022-02-23). . doi:10.53469/jissr.2022.09(04).32
The State Information Center, Beijing Rising Network Security Technology Co.,Ltd. 2021 China Cyber Security Report[EB/OL]. (2022-02-23).. doi:10.53469/jissr.2022.09(04).32
doi: 10.53469/jissr.2022.09(04).32
3 KEPHART J O, WHITE S R. Directed-graph epidemiological models of computer viruses[C]// Proceedings of the 1991 IEEE Computer Society Symposium on Research in Security and Privacy. Oakland: IEEE, 1991: 343-359. DOI:10.1109/RISP.1991.130801
doi: 10.1109/RISP.1991.130801
4 PASTOR-SATORRAS R, VESPIGNANI A. Epidemic dynamics and endemic states in complex networks[J]. Physical Review E, 2001, 63(6): 0661171-0661178. DOI:10.48550/arXiv.cond-mat/0102028
doi: 10.48550/arXiv.cond-mat/0102028
5 姚丽丽, 马英红, 李慧嘉. 一种带隔离机制的SIS模型研究[J]. 计算机安全, 2010, 2(2): 91-92. DOI:10.3969/j.issn.1671-0428.2010.02.033
YAO L L, MA Y H, LI H J. The study of SIS model with time isolation mechanism[J]. Network and Computer Security, 2010, 2(2): 91-92. DOI:10.3969/j.issn.1671-0428.2010.02.033
doi: 10.3969/j.issn.1671-0428.2010.02.033
6 JOHN C W, DAVID J M. Modeling computer virus prevalence with a susceptible-infected-susceptible model with reintroduction[J]. Computational Statistics & Data Analysis, 2004, 45(1): 3-23. DOI:10.1016/S0167-9473(03)00113-0
doi: 10.1016/S0167-9473(03)00113-0
7 ZHU L H, GUAN G, LI Y M. Nonlinear dynamical analysis and control strategies of a network-based SIS epidemic model with time delay[J]. Applied Mathematical Modelling, 2019, 70(18): 512-531. DOI:10.1016/j.apm.2019.01.037
doi: 10.1016/j.apm.2019.01.037
8 MUROYA Y, ENATSU Y, LI H X. Global stability of a delayed SIRS computer virus propagation model[J]. International Journal of Computer Mathematics, 2014, 91(3):347-367. DOI:10.1016/j.apm.2019.01.037
doi: 10.1016/j.apm.2019.01.037
9 ZHANG X X, LI C D, HUANG T W. Impact of impulsive detoxication on the spread of computer virus[J]. Advances in Difference Equations, 2016, 2016(1): 1-18. DOI:10.1186/s13662-016-0944-x
doi: 10.1186/s13662-016-0944-x
10 陈实, 肖敏, 周颖, 等. 一类具有饱和发生率的时滞恶意病毒传播模型的Hopf分岔[J]. 南京理工大学学报(自然科学版), 2021, 45(3): 320-325, 331. DOI:10.14177/j.cnki.32-1397n.2021.45.03.009
CHEN S, XIAO M, ZHOU Y, et al. Hopf bifurcation of malicious virus spreading model with time delays and saturated incidence rate[J]. Journal of Nanjing University of Science and Technology, 2021, 45(3): 320-325, 331. DOI:10.14177/j.cnki.32-1397n.2021.45.03.009
doi: 10.14177/j.cnki.32-1397n.2021.45.03.009
11 王刚, 冯云, 马润年. 操作系统病毒时滞传播模型及抑制策略设计[J]. 西安交通大学学报, 2021, 55(3): 11-19. DOI:10.7652/xjtuxb202103002
WANG G, FENG Y, MA R N. Time-delay propagation model and suppression strategy of operating system virus[J]. Journal of Xi'an Jiaotong University, 2021, 55(3): 11-19. DOI::10.7652/xjtuxb202103002
doi: 10.7652/xjtuxb202103002
12 YUAN H, CHEN G Q. Network virus-epidemic model with the point-to-group information propagation[J]. Applied Mathematics and Computation, 2008,206 (1): 357-367. DOI:10. 1016/j.amc.2008.09.025
doi: 10. 1016/j.amc.2008.09.025
13 LI J Q, YANG Y L, ZHOU Y C. Global stability of an epidemic model with latent stage and vaccination[J]. Nonlinear Analysis: Real World Applications, 2010, 12(4): 2163-2173. DOI:10.1016/j.nonrwa.2010.12.030
doi: 10.1016/j.nonrwa.2010.12.030
14 FENG L P, HAN R F, WANG H B, et al. A virus propagation model and optimal control strategy in the point-to-group network to information security investment[J]. Complexity, 2021, 2021(6): 1-7. DOI:10.1155/2021/6612451
doi: 10.1155/2021/6612451
15 尹礼寿, 梁娟. 一类计算机病毒SEIR模型稳定性分析[J]. 生物数学学报, 2017, 32(3): 403-407.
YIN L S, LIANG J. The stability analysis of one kind of computer virus SEIR model[J]. Journal of Biomathematics, 2017, 32(3): 403-407.
16 LIU Q M, LI H. Global dynamics analysis of an SEIR epidemic model with discrete delay on complex network[J]. Physica A: Statistical Mechanics and Its Applications, 2019, 524(6): 289-296. DOI:10.1016/j.physa.2019.04.258
doi: 10.1016/j.physa.2019.04.258
17 AMADOR J, ARTALEJO J R. Stochastic modeling of computer virus spreading with warning signals[J]. Journal of the Franklin Institute, 2013, 350(5): 1112-1138. DOI:10.1016/j.jfranklin.2013.02.008
doi: 10.1016/j.jfranklin.2013.02.008
18 YANG L X, DRAIEF M, YANG X F. Heterogeneous virus propagation in networks: A theoretical study[J]. Mathematical Methods in the Applied Sciences, 2017, 40(5): 1396-1413. DOI:10.1002/mma.4061
doi: 10.1002/mma.4061
19 MADHUSUDANAN V, GREETHA R. Dynamics of epidemic computer virus spreading model with delays[J]. Wireless Personal Communications, 2020, 115(5): 2017-2061. DOI:10.1007/s11277-020-07668-6
doi: 10.1007/s11277-020-07668-6
20 DRIESSCHE P, WATMOUGH J. Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission[J]. Mathematical Biosciences, 2002, 180(1/2): 29-48. DOI:10.1016/S0025-5564(02)00108-6
doi: 10.1016/S0025-5564(02)00108-6
21 HASSARD B D, KAZARINOFF N D, WAN Y H. Theory and Applications of Hopf Bifurcation[M]. Cambridge/New York: Cambridge University Press, 1981.
22 李畅. 混合隔离策略和时滞因素对计算机病毒在网络中传播的影响研究[D]. 重庆: 西南大学, 2016. doi:10.1109/wcica.2016.7578564
LI C. The Impact of Hybrid Quarantine Strategies and Delay Factor on Viral Prevalence in Computer Networks[D]. Chongqing: Southwest University, 2016. doi:10.1109/wcica.2016.7578564
doi: 10.1109/wcica.2016.7578564
23 蔡秀梅. 计算机病毒传播模型的研究与稳定性分析[D]. 重庆: 重庆理工大学, 2019.
CAI X M. Research and Stability Analysis of Computer Virus Propagation Model[D]. Chongqing: Chongqing University of Technology, 2019.
[1] 韩婉琴,石垚,包雄雄. 具有合作狩猎的食物链模型的Hopf分支[J]. 浙江大学学报(理学版), 2023, 50(5): 539-550.
[2] 李孝武,杨赟瑞,刘凯凯. 一类时滞非局部扩散SVIR模型单稳行波解的稳定性[J]. 浙江大学学报(理学版), 2023, 50(3): 273-286.
[3] 张钰倩,张太雷,侯雯珊,宋学力. 一类具有媒体效应和追踪隔离的SIQR时滞传染病模型[J]. 浙江大学学报(理学版), 2022, 49(2): 159-169.
[4] 张萍,覃桂茳,杨甲山. 具正负系数和多变时滞的高阶非线性中立型差分方程非振动解的存在性[J]. 浙江大学学报(理学版), 2022, 49(1): 41-48.
[5] 覃桂茳, 刘玉周, 杨甲山. 具正负系数和多变时滞的高阶微分方程的振动性[J]. 浙江大学学报(理学版), 2020, 47(2): 159-166.
[6] 李继猛, 杨甲山. 时间尺度上二阶拟线性阻尼动力方程的振动性分析[J]. 浙江大学学报(理学版), 2020, 47(1): 72-76.
[7] 李继猛, 杨甲山. 时间模上一类二阶泛函动态方程振荡的充分条件[J]. 浙江大学学报(理学版), 2019, 46(4): 405-411.
[8] 惠远先, 李培峦, 戴丽华. 一类三阶非线性分布时滞动力方程的振动结果[J]. 浙江大学学报(理学版), 2019, 46(3): 315-322.
[9] 李继猛. 时标上二阶广义Emden-Fowler型动态方程的振荡性[J]. 浙江大学学报(理学版), 2019, 46(3): 309-314.
[10] 张子振, 储煜桂, KUMARISangeeta, RanjitKumar UPADHYAY. 一类具有非线性发生率的无线传感网络蠕虫传播模型的延迟动力学行为[J]. 浙江大学学报(理学版), 2019, 46(2): 172-195.
[11] 张晓建. 二阶Emden-Fowler型变时滞中立型微分方程的振荡性[J]. 浙江大学学报(理学版), 2018, 45(3): 308-313.
[12] 张晓建. 时间尺度上一类二阶非线性动力系统的振动性判据[J]. 浙江大学学报(理学版), 2018, 45(2): 136-142.
[13] 孙玉虹, 李德生, 李玉双. 具有阻尼项的二阶非线性时滞中立型动力方程的振动性[J]. 浙江大学学报(理学版), 2018, 45(2): 131-135,161.
[14] 张勇, 杨雪玲, 舒永录. 一类大气混沌模型的动力学分析及数值仿真[J]. 浙江大学学报(理学版), 2018, 45(1): 18-22.
[15] 杨甲山, 覃桂茳. 一类二阶微分方程新的Kamenev型振动准则[J]. 浙江大学学报(理学版), 2017, 44(3): 274-280.