数学与计算机科学 |
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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 |
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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 |
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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.
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