Virus Propagation Model and Security Performance Optimization Strategy of Multi-operating System Heterogeneous Network

Gang WANG; Yun FENG; Shiwei LU; Runnian MA

doi:10.11999/JEIT190360

Volume 42 Issue 4

Jun. 2020

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Article Navigation > Journal of Electronics & Information Technology > 2020 > 42(4): 972-980

Gang WANG, Yun FENG, Shiwei LU, Runnian MA. Virus Propagation Model and Security Performance Optimization Strategy of Multi-operating System Heterogeneous Network[J]. Journal of Electronics & Information Technology, 2020, 42(4): 972-980. doi: 10.11999/JEIT190360

Citation:

Gang WANG, Yun FENG, Shiwei LU, Runnian MA. Virus Propagation Model and Security Performance Optimization Strategy of Multi-operating System Heterogeneous Network[J]. Journal of Electronics & Information Technology, 2020, 42(4): 972-980. doi: 10.11999/JEIT190360

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Virus Propagation Model and Security Performance Optimization Strategy of Multi-operating System Heterogeneous Network

doi: 10.11999/JEIT190360

Information and Navigation Institute, Air Force Engineering University, Xi’an 710077, China

Funds: The National Nature Science Foundation of China (61573017)

Received Date: 2019-05-22
Rev Recd Date: 2019-12-09

Available Online: 2019-12-20

Publish Date: 2020-06-04

Abstract

Abstract

In view of the fact that worm viruses can only infect specific operating systems, the virus propagation rule and security performance optimization strategy in multi-operating system heterogeneous network are studied in this paper. First, considering that most viruses can only spread in link between the same operation system, the parameters of heterogeneous edges ratio are introduced into the Susceptible Infected Remove Susceptible (SIRS) virus transmission model, and the influence of heterogeneous edges and network security performance on the single system virus transmission is studied through system equilibrium solution and basic regeneration number analysis. Secondly, according to the moving target defense thought and technology, the network security optimization strategies is designed for non-isomeric random interrupt, non-isomeric random reconnecting and single operating system random node migration, and the variation of the same ratio and the basic number of regenerated numbers in the three strategies and the impact on the safety of the network are anaylrzed. Finally, the correctness of the virus propagation model is verified by simulation, and the network security performance optimization effects of the three strategies are analyzed.
- Virus transmission,
- Susceptible Infected Remove Susceptible (SIRS) model,
- Heterogeneous edge ratio,
- Network security performance

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References

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