Stability and Hopf Bifurcation in a Computer Virus Model with Multistate Antivirus

By considering that people may immunize their computers with countermeasures in susceptible state, exposed state and using anti-virus software may take a period of time, a computer virus model with time delay based on an SEIR model is proposed. We regard time delay as bifurcating parameter to study the dynamical behaviors which include local asymptotical stability and local Hopf bifurcation. By analyzing the associated characteristic equation, Hopf bifurcation occurs when time delay passes through a sequence of critical value. The linerized model and stability of the bifurcating periodic solutions are also derived by applying the normal form theory and the center manifold theorem. Finally, an illustrative example is also given to support the theoretical results.

[1]  W. O. Kermack,et al.  A contribution to the mathematical theory of epidemics , 1927 .

[2]  W. O. Kermack,et al.  Contributions to the Mathematical Theory of Epidemics. III. Further Studies of the Problem of Endemicity , 1933 .

[3]  W. O. Kermack,et al.  Contributions to the mathematical theory of epidemics—III. Further studies of the problem of endemicity , 1991 .

[4]  W. O. Kermack,et al.  Contributions to the Mathematical Theory of Epidemics. II. The Problem of Endemicity , 1932 .

[5]  Michael Y. Li,et al.  Global stability for the SEIR model in epidemiology. , 1995, Mathematical biosciences.

[6]  Donald E. Conlon,et al.  Responses to the Michelangelo Computer Virus Threat: The Role of Information Sources and Risk Homeostasis Theory1 , 1999 .

[7]  S. Ruan,et al.  On the zeros of a third degree exponential polynomial with applications to a delayed model for the control of testosterone secretion. , 2001, IMA journal of mathematics applied in medicine and biology.

[8]  S. Ruan,et al.  On the zeros of transcendental functions with applications to stability of delay differential equations with two delays , 2003 .

[9]  R.W. Thommes,et al.  Modeling Virus Propagation in Peer-to-Peer Networks , 2005, 2005 5th International Conference on Information Communications & Signal Processing.

[10]  Junjie Wei,et al.  On the zeros of a fourth degree exponential polynomial with applications to a neural network model with delays , 2005 .

[11]  Junjie Wei,et al.  Stability and Hopf bifurcation analysis on a simplified BAM neural network with delays , 2005 .

[12]  Erol Gelenbe Keeping Viruses Under Control , 2005, ISCIS.

[13]  Bimal Kumar Mishra,et al.  Mathematical models on computer viruses , 2007, Appl. Math. Comput..

[14]  Bimal Kumar Mishra,et al.  Fixed period of temporary immunity after run of anti-malicious software on computer nodes , 2007, Appl. Math. Comput..

[15]  Dinesh Kumar Saini,et al.  SEIRS epidemic model with delay for transmission of malicious objects in computer network , 2007, Appl. Math. Comput..

[16]  Erol Gelenbe Dealing with software viruses: A biological paradigm , 2007, Inf. Secur. Tech. Rep..

[17]  Hua Yuan,et al.  Network virus-epidemic model with the point-to-group information propagation , 2008, Appl. Math. Comput..

[18]  Lihong Huang,et al.  Stability and Hopf bifurcation analysis on a ring of four neurons with delays , 2009, Appl. Math. Comput..

[19]  Ling Hong,et al.  Hopf bifurcation analysis in synaptically coupled HR neurons with two time delays , 2010 .

[20]  Ge Yu,et al.  Hopf bifurcation in an Internet worm propagation model with time delay in quarantine , 2013, Math. Comput. Model..