Impact of discontinuous antivirus strategy in a computer virus model with the point to group

被引:23
作者
Dong, Tao [1 ]
Wang, Aijuan [1 ]
Liao, Xiaofeng [1 ]
机构
[1] Southwest Univ, Coll Elect & Informat Engn, Chongqing 400715, Peoples R China
基金
中国国家自然科学基金;
关键词
Stability; Discontinuous; Computer virus; Finite time; Point-to-group; PROPAGATION MODEL; EPIDEMIC MODEL;
D O I
10.1016/j.apm.2015.10.029
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In this paper, by considering the development of antivirus software always lags behind the emergence of new virus and the point-to-group information propagation mode, a new computer virus model with point to group and discontinuous anti-virus strategy is presented. To the best of our knowledge, this is the first computer virus model that takes into account the effect of discontinuous anti-virus strategy. The dynamic properties of this model are investigated comprehensively. Specifically, it is found that in the case that the equilibrium is asymptotically stable, the convergence to the equilibrium can actually be achieved in finite time, and the time can be estimated in terms of the model parameters, the initial number of the uninfected computer and latent computer and the initial anti-virus strength, which means the virus in the network can be controlled or eliminated in finite time by increasing the anti-virus strength. Finally, two illustrative examples are also given to support the theoretical results. (C) 2015 Elsevier Inc. All rights reserved.
引用
收藏
页码:3400 / 3409
页数:10
相关论文
共 25 条
[1]   Investigation of the C-SEIRA model for controlling malicious code infection in computer networks [J].
Ahn, Inkyung ;
Oh, Hyeong-Cheol ;
Park, Jooyoung .
APPLIED MATHEMATICAL MODELLING, 2015, 39 (14) :4121-4133
[2]  
[Anonymous], 2012, ABSTR APPL AN
[3]  
Aubin JP, 1984, GRUNDLEHREN MATH WIS
[4]  
Bacciotti A., 1999, ESAIM. Control, Optimisation and Calculus of Variations, V4, P361, DOI 10.1051/cocv:1999113
[5]  
Ceragioli F., 2000, DISCONTINUOUS ORDINA
[6]  
Filippov AF., 1988, DIFF EQUAT+
[7]   Generalized Lyapunov approach for convergence of neural networks with discontinuous or non-Lipschitz activations [J].
Forti, A ;
Grazzini, A ;
Nistri, P ;
Pancioni, L .
PHYSICA D-NONLINEAR PHENOMENA, 2006, 214 (01) :88-99
[8]   Dealing with software viruses: A biological paradigm [J].
Electrical and Electronic Engineering Department, Imperial College, London, SW7 2BT, United Kingdom .
Information Security Technical Report, 2007, 12 (04) :242-250
[9]  
Gelenbe Erol, 2005, LECT NOTES COMPUTER, V3733
[10]   Constructing computer virus phylogenies [J].
Goldberg, LA ;
Goldberg, PW ;
Phillips, CA ;
Sorkin, GB .
JOURNAL OF ALGORITHMS, 1998, 26 (01) :188-208