Computer Viruses Propagation Model on Dynamic Switching Networks

2018 ◽  
pp. 81-95
Author(s):  
Chunming Zhang
Keyword(s):  
Propagation Model ◽  
Switching Networks ◽  
Computer Viruses ◽  
Dynamic Switching

Understanding the propagation dynamics of multipartite computer virus

2014 ◽  
Vol 114 (1) ◽  
pp. 86-106
Author(s):  
Pei-Chen Sung ◽  
Cheng-Yuan Ku ◽  
Chien-Yuan Su
Keyword(s):  
Information Security ◽  
Negative Impact ◽  
Computer Virus ◽  
Propagation Model ◽  
Self Awareness ◽  
Sociological Perspective ◽  
Virus Propagation ◽  
Content Type ◽  
Computer Viruses ◽  
Software Companies

Purpose – Understanding the computer-virus propagation is quite essential for the construction and development of anti-virus policy. While researches about the anti-virus policy have been extensively investigated, the viewpoint from sociological perspective is relatively ignored. Therefore, this paper aims to explore the dynamics of computer-virus propagation and evaluate the effectiveness of anti-virus policies through the sociological perspective. Design/methodology/approach – This research constructs a virus-propagation model based on the susceptible-exposed-infective-recovered epidemic concept to simulate and explore the dynamic behavior of multipartite computer viruses through the tool of system dynamics. The effectiveness of various anti-virus policies is then evaluated via this model. Findings – The frequency of media contact has a significant effect on the virus infection rate. The effectiveness of user self-prevention relies on the usefulness of the virus signatures. The reporting/alarm process can enhance the capability of anti-virus software company and the detected intensity of new threat. The quarantine policy can effectively reduce the spread of computer virus. Practical implications – Individuals should strengthen the self-awareness of information security to reduce the negative impact. Managers should construct and implement the information security norm to regulate the behavior of staff. Anti-virus software companies should strengthen the capability of their automatic reporting/alarm mechanism to early detect the exceptional conditions and control new threats in time. Originality/value – Information security management research is still in the growth phase, but it is critically important to establish the groundwork for understanding of computer viruses and the effectiveness of anti-virus policy from assorted perspectives. The major contribution of research is to explore the propagation of multipartite computer viruses and study how to prevent their destruction from the sociological and technical perspectives.

A mixing propagation model of computer viruses and countermeasures

2013 ◽  
Vol 73 (3) ◽  
pp. 1433-1441 ◽  
Author(s):  
Qingyi Zhu ◽  
Xiaofan Yang ◽  
Lu-Xing Yang ◽  
Xulong Zhang
Keyword(s):  
Propagation Model ◽  
Computer Viruses

SIRA Computer Viruses Propagation Model: Mortality and Robustness

2018 ◽  
Vol 4 (5) ◽  
Author(s):  
Cristiane Mileo Batistela ◽  
José Roberto Castilho Piqueira
Keyword(s):  
Propagation Model ◽  
Computer Viruses

scholarly journals Global Stability of an Epidemic Model of Computer Virus

2014 ◽  
Vol 2014 ◽  
pp. 1-5 ◽  
Author(s):  
Xiaofan Yang ◽  
Bei Liu ◽  
Chenquan Gan
Keyword(s):  
Global Stability ◽  
Epidemic Model ◽  
Computer Virus ◽  
Propagation Model ◽  
Parameter Analysis ◽  
The Internet ◽  
Asymptotically Stable ◽  
Unique Equilibrium ◽  
Globally Asymptotically Stable ◽  
Computer Viruses

With the rapid popularization of the Internet, computers can enter or leave the Internet increasingly frequently. In fact, no antivirus software can detect and remove all sorts of computer viruses. This implies that viruses would persist on the Internet. To better understand the spread of computer viruses in these situations, a new propagation model is established and analyzed. The unique equilibrium of the model is globally asymptotically stable, in accordance with the reality. A parameter analysis of the equilibrium is also conducted.

scholarly journals Evaluating the Performance of a Static Patching Strategy against Computer Viruses

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-10 ◽  
Author(s):  
Da-Wen Huang ◽  
Lu-Xing Yang ◽  
Xiaofan Yang ◽  
Xiang Zhong ◽  
Yuan Yan Tang
Keyword(s):  
Injection Rate ◽  
Propagation Model ◽  
Small Subset ◽  
Network Nodes ◽  
Computer Viruses ◽  
Network Bandwidth ◽  
Node Level ◽  
Malware Propagation ◽  
Measure Of Performance

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.

scholarly journals Epidemic Threshold of an SIS Model in Dynamic Switching Networks

2016 ◽  
Vol 46 (3) ◽  
pp. 345-355 ◽  
Author(s):  
Mohammad Reza Sanatkar ◽  
Warren N. White ◽  
Balasubramaniam Natarajan ◽  
Caterina M. Scoglio ◽  
Karen A. Garrett
Keyword(s):  
Switching Networks ◽  
Epidemic Threshold ◽  
Sis Model ◽  
Dynamic Switching

Dynamic Switching Networks

2019 ◽  
Vol 28 (1) ◽  
pp. 77-96
Author(s):  
A. M. Khalili ◽  
Keyword(s):  
Switching Networks ◽  
Dynamic Switching

scholarly journals A New Model for Capturing the Spread of Computer Viruses on Complex-Networks

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Chunming Zhang ◽  
Tianliang Feng ◽  
Yun Zhao ◽  
Guifeng Jiang
Keyword(s):  
Computer Virus ◽  
Propagation Model ◽  
Asymptotically Stable ◽  
Virus Propagation ◽  
Systematic Analysis ◽  
Globally Asymptotically Stable ◽  
Computer Viruses ◽  
New Model ◽  
Globally Attractive ◽  
Computer Virus Propagation Model

Based on complex network, this paper proposes a novel computer virus propagation model which is motivated by the traditional SEIRQ model. A systematic analysis of this new model shows that the virus-free equilibrium is globally asymptotically stable when its basic reproduction is less than one, and the viral equilibrium is globally attractive when the basic reproduction is greater than one. Some numerical simulations are finally given to illustrate the main results, implying that these results are applicable to depict the dynamics of virus propagation.

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