Remote sensor systems experience basic investigation of network security because of inexplicable operational imperatives. The challenge flinches with the fragment of worms in the remote system. A solitary contaminated hub is adequate to spread the worms over the entire system. The tainted hub hastily contaminates the contiguous hubs in a relentless way. In this paper, a scientific model depending on pandemic hypothesis is proposed which is an enhancement of the SIRS, SEIS, SEIRS models. SEIQRV (susceptible-exposed-infectious-quaraintain-recovered-vaccinated) model enriched with the additive white noise conquers the hindrances of existing models. Using Routh-Hurwitz criteria, reproduction number, existence of steady states, and stability about endemic steady state are analyzed. The proposed system’s stability is substantiated varying for different values of communication radii and node densities. The additional constituent to the proposed model is the stochastic fluctuation implemented and the examination of the stochastic variations. This model incorporates a limited correspondence span and the related hub thickness. The assessment of the proposed model with other existing models are presented and analyzed based on different executions.

由于莫名其妙的操作要求，远程传感器系统需要进行网络安全性的基础研究。挑战随着远程系统中蠕虫的碎片而畏缩。单独污染的中心足以将蠕虫传播到整个系统。受污染的轮毂会毫不留情地匆匆污染相邻的轮毂。本文提出了一种基于大流行假设的科学模型，该模型是对SIRS，SEIS，SEIRS模型的增强。富含添加性白噪声的SEIQRV（可疑暴露传染性象牙菌病恢复接种疫苗）模型克服了现有模型的障碍。使用Routh-Hurwitz准则，分析繁殖数量，稳态的存在以及地方性稳态的稳定性。对于不同的通信半径和节点密度，建议的系统稳定性得到了保证。所提出模型的附加组成部分是实施的随机波动和对随机变化的检验。该模型结合了有限的对应跨度和相关的轮毂厚度。基于不同的执行方式，提出并分析了所提出模型与其他现有模型的评估。