A propagation model of computer virus with nonlinear vaccination probability

Gan, Chenquan; Yang, Xin‐She; Liu, Wanping; Zhu, Qingyi

doi:10.1016/j.cnsns.2013.06.018

Cited by 94 publications

(50 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Due to the distributed management has logical unity, is a whole different data to the user, the user need not care about data stored in where, where processing. On the contrary, the centralized management of data, to take in the central processor or storage device failure occurs when the risk of all visitors will be in trouble [4][5].…”

Section: The Distributed Systemmentioning

confidence: 99%

Computer Network Performance Optimization Approaches based on Distributed System with the Cloud Computing Environment

2016

IJSR

View full text Add to dashboard Cite

Abstract:In this paper, we conduct research on the computer network performance optimization approaches based on distributed system with the cloud computing environment. The information age, network is everywhere, increased, but the network speed is not enough. Blame the reason, on the one hand, to speed up the network construction, on the other hand, in actual use and construction should pay more attention to improve the performance of network problems. Computer network performance problem is very complex and important, as hundreds of thousands of the computers connected together, often appear unable to predict the result of complex interactions, this complexity to cause a decline in network performance and often difficult to determine why. There are very few in the actual use of basic theory of or system as this article explores many issues related to the network performance, so as to comprehensively and systematically understands what performance problems in computer network and how to solve the performance problems and from their own experience gained from practical experience, some real examples, points out the key of the problem. Further research plan and schedule are also discussed with final conclusion in the final part.

show abstract

Section: The Distributed Systemmentioning

confidence: 99%

Computer Network Performance Optimization Approaches based on Distributed System with the Cloud Computing Environment

2016

IJSR

View full text Add to dashboard Cite

show abstract

“…To study the propagation dynamics in CDN, many works have been made on modeling the dynamic rules [15][16][17][18][19][20][21][22][23][24][25]. To study the propagation dynamics of disease, reference [24] formulates a compartmental susceptible -exposed -infectious -susceptible with vaccination (that is, anti-virus treatment) (SEIS-V) epidemic transmission model of worms in a computer network with natural death rate.…”

mentioning

confidence: 99%

A novel dynamics model of fault propagation and equilibrium analysis in complex dynamical communication network

Hong

Yang

Zio

et al. 2014

Applied Mathematics and Computation

View full text Add to dashboard Cite

a b s t r a c tTo describe failure propagation dynamics in complex dynamical communication networks, we propose an efficient and compartmental standard-exception-failure propagation dynamics model based on the method of modeling disease propagation in social networks. Mathematical formulas are derived and differential equations are solved to analyze the equilibrium of the propagation dynamics. Stability is evaluated in terms of the balance factor G and it is shown that equilibrium where the number of nodes in different states does not change, is globally asymptotically stable if G P 1. The theoretical results derived are verified by numerical simulations. We also investigate the effect of some network parameters, e.g. node density and node movement speed, on the failure propagation dynamics in complex dynamical communication networks to gain insights for effective measures of control of the scale and duration of the failure propagation in complex dynamical communication networks.

show abstract

“…The first compartment-level model is proposed by Kephart and White [1], who followed the suggestions recommended by Cohen [12] and Murray [13]. Since then, multifarious propagation models have been developed (see, e.g., [14][15][16][17][18][19][20][21][22]). It is worth noticing that Zhu et al [6] proposed the original compartment-level SICS (susceptible-infected-countermeasured-susceptible) model with linear static countermeasure based on the CMC (Countermeasure Competing) strategy presented by Chen and Carley [23].…”

Section: Introductionmentioning

confidence: 99%

Optimal and Nonlinear Dynamic Countermeasure under a Node-Level Model with Nonlinear Infection Rate

Zhang

Gan

2017

Discrete Dynamics in Nature and Society

Self Cite

View full text Add to dashboard Cite

This paper mainly addresses the issue of how to effectively inhibit viral spread by means of dynamic countermeasure. To this end, a controlled node-level model with nonlinear infection and countermeasure rates is established. On this basis, an optimal control problem capturing the dynamic countermeasure is proposed and analyzed. Specifically, the existence of an optimal dynamic countermeasure scheme and the corresponding optimality system are shown theoretically. Finally, some numerical examples are given to illustrate the main results, from which it is found that (1) the proposed optimal strategy can achieve a low level of infections at a low cost and (2) adjusting nonlinear infection and countermeasure rates and tradeoff factor can be conductive to the containment of virus propagation with less cost.

show abstract

A propagation model of computer virus with nonlinear vaccination probability

Cited by 94 publications

References 36 publications

Computer Network Performance Optimization Approaches based on Distributed System with the Cloud Computing Environment

Computer Network Performance Optimization Approaches based on Distributed System with the Cloud Computing Environment

A novel dynamics model of fault propagation and equilibrium analysis in complex dynamical communication network

Optimal and Nonlinear Dynamic Countermeasure under a Node-Level Model with Nonlinear Infection Rate

Contact Info

Product

Resources

About