VEIRV-A Malware Propagation Modeling in the Internet of Things Networks

Articles in Press

Document Type : Original Article

Authors

1 Department of Computer Science, Faculty of Mathematics and Computer, Shahid Bahonar University of Kerman, Kerman, Iran

2 Department of Computer, Shahrbabak Branch, Islamic Azad University, Shahrbabak, Iran

Abstract

With the evolution of the fifth generation wireless network, the Internet of Things (IoT) has also created a surprising transformation in human life. Therefore, a more detailed study of the Internet of Things technology and its various fields, including the security of this field, will be necessary. In the field of security of Internet of Things networks, one of the issues that has been raised is the spread of malware. In this paper, we have modeled the spread of malware in Internet of Things networks with the epidemic disease model of vulnerable - exposed to infection - infected - recovered - antidote. The effect of applying antidote to recovered and vulnerable nodes on the spread of malware in Internet of Things networks has been investigated. We have determined the importance of the node in the network based on the degree of the node and based on this rate, the vulnerable nodes in the network have been secured. Securing nodes based on the degree has led to a reduction in the spread of malware in the network. The epidemic threshold of malware spread (R_0) has been calculated in the proposed model. Comparing the model with the SIRS and SEIRS models showed that the proposed model performed better than the other two models.

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Main Subjects

Soft Computing Journal

Articles in Press, Accepted Manuscript
Available Online from 15 January 2025

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History

  • Receive Date: 04 November 2024
  • Revise Date: 28 December 2024
  • Accept Date: 14 January 2025

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