Research Article | Open Access

# Stability and Hopf Bifurcation in a Delayed SEIRS Worm Model in Computer Network

**Academic Editor:**Piermarco Cannarsa

#### Abstract

A delayed SEIRS epidemic model with vertical transmission in computer network is considered. Sufficient conditions for local stability of the positive equilibrium and existence of local Hopf bifurcation are obtained by analyzing distribution of the roots of the associated characteristic equation. Furthermore, the direction of the local Hopf bifurcation and the stability of the bifurcating periodic solutions are determined by using the normal form theory and center manifold theorem. Finally, a numerical example is presented to verify the theoretical analysis.

#### 1. Introduction

Since the pioneering work of Kephart and White [1, 2], classical epidemiological models have been used to understand and predict virus propagations in computer network by many authors [3–10]. In [3], Thommes and Coates proposed a modified version of the SEI model to predict the virus propagation in a network. In [5], Yuan and Chen proposed an e-SEIR model and studied the behavior of virus propagation with the presence of antivirus countermeasures. Yuan and Chen [5] supposed that the recovered computers have a permanent immunization period and can no longer be infected. Considering that there is no permanent recovery from the virus till a node is attached to the computer network, Mishra and Pandey [6] proposed the following epidemic model for the transmission of worms with vertical transmission: where , , , and denote the numbers of nodes at time in susceptible, exposed, infectious and recovered states, respectively. is the recruitment rate of susceptible nodes to the computer network. is the crashing rate of nodes due to the reason other than the attack of worms. and are the fractions of the new nodes from the exposed and the infectious classes, respectively, that are introduced into the exposed class. is the transmission rate. , , and are the state transition rates. is the crashing rate of nodes due to the attack of worms. Mishra and Pandey [6] discussed the characteristic of the basic reproduction number and investigated the global stability of system (1) by constructing a new Liyapunov function.

It is well known that time delays can play a complicated role on the dynamics of a system. They can cause the stable equilibrium of a system to become unstable and make a system bifurcate periodic solutions. Dynamical systems with delay have been studied by many scholars [11–20]. Motivated by the works above and considering that the antivirus software may use a period to clean the worms in one node and that the recovered nodes may have a temporary immunity period due to the antivirus software, we consider the following delayed system in this paper: where is the period to clean the worms in one node and is the temporary immunity period. For the convenience of analysis, throughout this paper, we assume that the period to clean the worms in one node and the temporary immunity period are the same.

Let , and then system (2) becomes the following form:

The main purpose of this paper is to investigate the effects of the time delay on the dynamics of system (3). We study the stability of the positive equilibrium of system (3) and find the critical value of the time delay where a Hopf bifurcation occurs. We also study the properties of the Hopf bifurcation such as direction and stability.

This paper is organized as follows. In Section 2, we investigate local stability of the positive equilibrium and obtain the sufficient conditions for the existence of local Hopf bifurcation. In Section 3, we determine the direction and the stability of the Hopf bifurcation by using the normal form theory and center manifold theorem. In order to testify the theoretical analysis, a numerical example is presented in Section 4.

#### 2. Stability and Existence of Local Hopf Bifurcation

It is not difficult to verify that if system (2) has a unique positive equilibrium , where

is called the basic reproduction number.

The Jacobian matrix of system (3) about the positive equilibrium iswhere Thus, the characteristic equation of system (2) at the positive equilibrium is where

Multiplying on both sides of (8), it is easy to get

When , (10) reduces to where

By the Routh-Hurwitz criterion, the sufficient conditions for all roots of (11) to have a negative real part given in the following form:

Thus, if the condition holds, which means that (13) and (14) are satisfied, the positive equilibrium is locally asymptotically stable in the absence of delay.

For , let be a root of (10). Then, we can get Then, we can get where

It is well known that . Thus, we have where

Let , and then (18) becomes

In order to give the main results in this paper, we made the following assumption.

Equation (20) has at least one positive real root.

Suppose that the condition holds. Without loss of generality, we suppose that (20) has eight positive real roots, which are denoted as , respectively. Then, (18) has eight positive roots . For every fixed , the corresponding critical value of time delay is

Let

Taking the derivative of with respect to (10), it is easy to obtain Then, we have

Obviously, if the condition holds, then . Thus, according to the Hopf bifurcation theorem in [21], we have the following results.

Theorem 1. * Suppose that the conditions ( H_{1})–(H_{3}) hold. The positive equilibrium of system (3) is asymptotically stable for . System (3) undergoes a Hopf bifurcation at the positive equilibrium when and a family of periodic solutions bifurcate from the positive equilibrium near .*

#### 3. Properties of the Hopf Bifurcation

In the previous section, we have obtained the conditions for the Hopf bifurcation to occur when . In this section, we will study properties of the Hopf bifurcation such as direction and stability by using the normal form theory and the center manifold theorem in [21].

Let , , , , and and normalize . Then system (3) can be transformed into the following form: where and and are given, respectively, by

By the Riesz representation theorem, there exists a matrix function whose elements are of bounded variation such that

In fact, we choose where is the Dirac delta function.

For , we define Then system (25) can be transformed into the following operator equation:

The adjoint operator of is defined by associated with a bilinear form: where .

Let be the eigenvector of corresponding to and let be the eigenvector of corresponding to . From the definition of and , we can get

From (32), we have

Then, we choose such that , .

Next, we can obtain the coefficients which will be used to determine the properties of the Hopf bifurcation by following the algorithms introduced in [21] and using a computation process as in [22]: with where and can be determined by the following equations, respectively:with

Therefore, we can calculate the following values: Based on the discussion above, we can obtain the following results.

Theorem 2. * For system (3), if , the Hopf bifurcation is supercritical (subcritical). If , the bifurcating periodic solutions are stable (unstable). If the period of the bifurcating periodic solutions increases (decreases).*

#### 4. Numerical Simulation

In this section, we present a numerical example to verify the theoretical analysis in Sections 2 and 3. Let , , , , , , , , and . We can get a particular case of system (3):

Then, we can get that , , and system (41) has a unique positive equilibrium , and . Further, we have , , , and . That is, condition holds. Thus, we can obtain , , and . Therefore, from Theorem 1, the positive equilibrium is asymptotically stable when and unstable when . As can be seen from Figures 1, 2, and 3, when , the positive equilibrium is asymptotically stable. However, when , the positive equilibrium will lose its stability, a Hopf bifurcation occurs, and a family of periodic solutions bifurcate from the positive equilibrium . This property can be illustrated by Figures 4, 5, and 6. In addition, from (40), we can get , , , and . Thus, according to Theorem 2, we know that the Hopf bifurcation is supercritical. The bifurcating periodic solutions are stable and the period of the periodic solutions decreases.

#### 5. Conclusions

In this paper, we incorporate the time delay due to the period the antivirus software has to use to clean the worms in one node and the temporary immunity period of the recovered nodes into the model considered in the literature [6] and get a delayed SEIRS epidemic model for the transmission of worms in computer network through vertical transmission. The effects of the time delay on the dynamics of the model are investigated. It is found that the time delay can play a complicated role on the model by analyzing the distribution of the roots of the associated characteristic equation. When the time delay is suitable small, the positive equilibrium is asymptotically stable. However, a local Hopf bifurcation occurs and a branch of periodic solutions bifurcates from the positive equilibrium when the delay passes through the critical value . Furthermore, the properties of the Hopf bifurcation such as direction and stability are determined by using the normal form theory and center manifold theorem. In order to verify the theoretical analysis, a numerical example is also included.

#### Acknowledgments

This work was supported by the National Natural Science Foundation of China (61273070), a project funded by the Priority Academic Program Development of Jiangsu Higher Education Institution, Major Science Foundation Subject for the Education Department of Anhui Province under Project no. ZD200905, and a Project funded by the Ministry of Education (12YJA630136).

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#### Copyright

Copyright © 2013 Zizhen Zhang and Huizhong Yang. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.