Propagation Effect of a Virus Outbreak on a Network with Limited Anti-Virus Ability

Xu, Yonghong; Ren, Jianguo

doi:10.1371/journal.pone.0164415

Cited by 15 publications

(14 citation statements)

References 28 publications

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“…A er years of development, there has formed a new applied mathematics named malware propagation theory, which is devoted to the modeling and study of malware propagation. e earlier malware propagation models build on homogeneously mixed networks [7][8][9][10][11][12][13][14][15] or some special inhomogeneous networks such as scale-free networks [16][17][18]. In view of the structural diversity of real-world networks, it is essential to model and study malware propagation on arbitrary networks.…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Performance of a Static Patching Strategy against Computer Viruses

Huang

Yang

et al. 2020

Complexity

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To cope with evolving computer viruses, antivirus programs must be periodically updated. Due to the limited network bandwidth, new virus patches are typically injected into a small subset of network nodes and then forwarded to the remaining nodes. A static patching strategy consists of a fixed patch injection rate and a fixed patch forwarding rate. This paper focuses on evaluating the performance of a static patching strategy. First, we introduce a novel autonomous node-level virus-patch propagation model to characterize the effect of a static patching strategy. Second, we show that the model is globally attracting, implying that regardless of the initial expected state of the network, the expected fraction of the infected nodes converges to the same value. Therefore, we use the asymptotic expected fraction of the infected nodes as the measure of performance of a static patching strategy. On this basis, we evaluate the performances of a few static patching strategies. Finally, we examine the influences of a few parameters on the performance of a static patching strategy. Our findings provide a significant guidance for restraining malware propagation.

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Section: Introductionmentioning

confidence: 99%

Evaluating the Performance of a Static Patching Strategy against Computer Viruses

Huang

Yang

et al. 2020

Complexity

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“…In the last few years, the importance of epidemic modeling and control has increased in respect of their capability to describe infectious disease and proposing suitable control strategies [1][2][3][4][5][6][7][8]; moreover, the power of epidemic modeling has been used also in different fields, such as to study the propagation effects of a virus outbreak on a network [9,10].…”

Section: Introductionmentioning

confidence: 99%

Optimal Resource Allocation to Reduce an Epidemic Spread and Its Complication

Giamberardino

Iacoviello

2019

Information

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Mathematical modeling represents a useful instrument to describe epidemic spread and to propose useful control actions, such as vaccination scheduling, quarantine, informative campaign, and therapy, especially in the realistic hypothesis of resources limitations. Moreover, the same representation could efficiently describe different epidemic scenarios, involving, for example, computer viruses spreading in the network. In this paper, a new model describing an infectious disease and a possible complication is proposed; after deep-model analysis discussing the role of the reproduction number, an optimal control problem is formulated and solved to reduce the number of dead patients, minimizing the control effort. The results show the reasonability of the proposed model and the effectiveness of the control action, aiming at an efficient resource allocation; the model also describes the different reactions of a population with respect to an epidemic disease depending on the economic and social original conditions. The optimal control theory applied to the proposed new epidemic model provides a sensible reduction in the number of dead patients, also suggesting the suitable scheduling of the vaccination control. Future work will be devoted to the identification of the model parameters referring to specific epidemic disease and complications, also taking into account the geographic and social scenario.

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“…In the recent paper (Fatima et al, 2018) a susceptible-latent-breakingoutquarantine-susceptible computer virus dynamics is proposed and implemented, showing the positive effects of the quarantine. The scenario considered in this paper is similar to the one in (Xu and Ren, 2016); the population of computers connected in a network is partitioned into four classes. Besides the classes of susceptible S and recovered R computers, that are the devices not infected that can become infected and those that can not get the infection respectively, there are two classes of infected computers.…”

Section: Introductionmentioning

confidence: 99%

“…In this paper a variation of the model proposed in (Xu and Ren, 2016) is introduced and analysed, by considering the reproduction number and the possible existence of virus equilibrium. Optimal control strategies are proposed to face a possible epidemic spread.…”

Section: Introductionmentioning

confidence: 99%

Optimal Control to Limit the Propagation Effect of a Virus Outbreak on a Network

Giamberardino

Iacoviello

2019

Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics

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The aim of this paper is to propose an optimal control strategy to face the propagation effects of a virus outbreak on a network; a recently proposed model is integrated and analysed. Depending on the specific model caracteristics, the epidemic spread could be more or less dangerous leading to a virus free or to a virus equilibrium. Two possible controls are introduced: a test on the computers connected in a network and the antivirus. In a condition of limited resources the best allocation strategy should allow to reduce the spread of the virus as soon as possible.

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Propagation Effect of a Virus Outbreak on a Network with Limited Anti-Virus Ability

Cited by 15 publications

References 28 publications

Evaluating the Performance of a Static Patching Strategy against Computer Viruses

Evaluating the Performance of a Static Patching Strategy against Computer Viruses

Optimal Resource Allocation to Reduce an Epidemic Spread and Its Complication

Optimal Control to Limit the Propagation Effect of a Virus Outbreak on a Network

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