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- W3118291221 abstract "Most mathematical models representing infection spread in computer and wireless sensor networks (WSN) address only a specific kind of malware. However, researchers in the field of biosciences have modeled non-homogenous populations of contagions in a host. Motivated by this, we therefore propose the Vulnerable, Contagious due to virus, Contagious due to worm, Contagious due to trojan horse, Recovered with Inoculation (e-VCjRI) epidemic model, to describe the propagation dynamics of multiple breeds of malware in a WSN. Beside distinctive infectiousness, the e-VCjRI model possesses expressions for communication range and distribution density, which are renowned WSN attributes that constituted the actual threshold parameter ((R_{o})) alongside differential infectivity as result of worm, virus and trojan horse. Put another way, the study illustrated that the true (R_{o}) is the summation of each malware group’s reproduction ratio. The Runge–Kutta order 4 and 5 numerical method was used to provide solutions for the system of differential equations, and afterward, the effects of the aforementioned WSN features were presented." @default.
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- W3118291221 date "2020-12-16" @default.
- W3118291221 modified "2023-09-27" @default.
- W3118291221 title "Characterization of Heterogeneous Malware Contagions in Wireless Sensor Networks: A Case of Uniform Random Distribution" @default.
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- W3118291221 doi "https://doi.org/10.1007/978-981-15-8354-4_80" @default.
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