Dynamic model of worms with vertical transmission in computer network

被引:173
|
作者
Mishra, Bimal Kumar [1 ]
Pandey, Samir Kumar [2 ]
机构
[1] Birla Inst Technol, Dept Appl Math, Ranchi 835215, Bihar, India
[2] Siksha O Anusandhan Univ, Dept Math, Bhubaneswar, Orissa, India
关键词
Epidemic model; Vertical transmission; Endemic equilibrium; Global stability; Worms; Computer network; SEIR EPIDEMIC MODEL; MATHEMATICAL-THEORY; COMPOUND MATRICES; MALICIOUS OBJECTS; GLOBAL DYNAMICS; VIRUS;
D O I
10.1016/j.amc.2011.03.041
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
An e-epidemic SEIRS model for the transmission of worms in computer network through vertical transmission is formulated. It has been observed that if the basic reproduction number is less than or equal to one, the infected part of the nodes disappear and the worm dies out, but if the basic reproduction number is greater than one, the infected nodes exists and the worms persist at an endemic equilibrium state. Numerical methods are employed to solve and simulate the system of equations developed. We have analyzed the behavior of the susceptible, exposed, infected and recovered nodes in the computer network with real parametric values. (C) 2011 Elsevier Inc. All rights reserved.
引用
收藏
页码:8438 / 8446
页数:9
相关论文
共 50 条
  • [31] SEIRS epidemic model with delay for transmission of malicious objects in computer network
    Mishra, Bimal Kumar
    Saini, Dinesh Kumar
    APPLIED MATHEMATICS AND COMPUTATION, 2007, 188 (02) : 1476 - 1482
  • [32] Research on network evolution model based on computer virus transmission mechanism
    Chen, Huixin
    Wang, Xiaodong
    IEEE ICCSS 2016 - 2016 3RD INTERNATIONAL CONFERENCE ON INFORMATIVE AND CYBERNETICS FOR COMPUTATIONAL SOCIAL SYSTEMS (ICCSS), 2016, : 305 - 307
  • [33] A MODEL OF GRADED SYNAPTIC TRANSMISSION FOR USE IN DYNAMIC NETWORK SIMULATIONS
    DESCHUTTER, E
    ANGSTADT, JD
    CALABRESE, RL
    JOURNAL OF NEUROPHYSIOLOGY, 1993, 69 (04) : 1225 - 1235
  • [34] Influence of removable devices on computer worms: Dynamic analysis and control strategies
    Song, Li-Peng
    Jin, Zhen
    Sun, Gui-Quan
    Zhang, Juan
    Han, Xie
    COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2011, 61 (07) : 1823 - 1829
  • [35] Numerical Approaching of SIR Epidemic Model for Propagation of Computer Worms
    Valdez, J. S.
    Guevara, P.
    Audelo, J.
    Delgado, G.
    IEEE LATIN AMERICA TRANSACTIONS, 2015, 13 (10) : 3452 - 3460
  • [36] A computational model of computer worms based on persistent turing machines
    Hao, Jingbo
    Yin, Jianping
    Zhang, Boyun
    PROCEEDINGS OF THE FIFTH IEEE INTERNATIONAL CONFERENCE ON COGNITIVE INFORMATICS, VOLS 1 AND 2, 2006, : 453 - 456
  • [37] Levy impact on the transmission of worms in wireless sensor network: Stochastic analysis
    Liu, Qi
    Raezah, Aeshah A.
    Din, Anwarud
    RESULTS IN PHYSICS, 2023, 52
  • [38] Application and analysis of dynamic model of computer data system and network optimization
    Zhao, Boxin
    Liu, Qiujing
    Boletin Tecnico/Technical Bulletin, 2017, 55 (18): : 366 - 373
  • [39] Mathematical model for spreading dynamics of social network worms
    Sun, Xin
    Liu, Yan-Heng
    Li, Bin
    Li, Jin
    Han, Jia-Wei
    Liu, Xue-Jie
    JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT, 2012,
  • [40] Control on the transmission of computer viruses in network
    Han C.
    Li L.
    Automatic Control and Computer Sciences, 1600, Springer Science and Business Media, LLC (51): : 233 - 239