A novel method for the dynamics of worms in wireless sensor networks with fuzzy partition
Source abstract
Abstract
Wireless sensor networks (WSNs) have gained much interest due to their enormous potential in civil and military applications. The power and radio communication capabilities of the sensor nodes are limited. Because sensor nodes have limited resources, they have weak defense capabilities and are attractive targets for software attacks. Worm-based cyberattacks are among the most significant threats to computers and WSNs’ security and integrity. In this article, a five-compartmental WSN epidemic model is considered. We conducted an investigation into equilibrium analysis and the reproductive number, followed by the development of a nonstandard finite difference numerical scheme for our model. The outcomes of our numerical simulations are then presented. This method yields reliable predictions, which can be valuable for regulators when making decisions related to designing and implementing control strategies. Furthermore, some interesting properties of the developed scheme are investigated, such as positivity, convergence, and consistency. The developed scheme preserves the essential characteristics of disease epidemic models like positivity, convergence, and consistency.
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Research context
OpenAlex topics: Mathematical and Theoretical Epidemiology and Ecology Models · Opinion Dynamics and Social Influence · COVID-19 epidemiological studies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Mathematics and Statistics, College of Science, Taif University 1 , P.O. Box 11099, Taif 21944, Saudi Arabia
Department of Mathematics, School of Science, University of Management and Technology 2 , Lahore 54000, Pakistan
Department of Mathematics and Statistics, University of Lahore 3 , Lahore 54590, Pakistan
Department of Computer Science and Mathematics, Lebanese American University 4 , Beirut 1102-2801, Lebanon
Institute of Space Sciences 5 , Magurele-Bucharest 077125, Romania
Department of Mathematics, Faculty of Science and Technology, University of Central Punjab 6 , Lahore 54000, Pakistan
Department of Mathematics, Govt. Maulana Zafar Ali Khan Graduate College Wazirabad, Higher Education Department (HED), Govt. of Punjab 7 , Lahore 54000, Pakistan
8 Department of Mathematics, Mathematics Research Center, Near East University, Near East Boulevard, PC: 99138, Nicosia/Mersin 10, Türkiye
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