文献类型：期刊文献

中文题名：考虑不同潜伏期的异质传感网络恶意程序传播建模与分析

英文题名：MODELING AND ANALYSIS OF MALWARE PROPAGATION IN HETEROGENEOUS SENSOR NETWORKS CONSIDERING DIFFERENT INCUBATION PERIODS

作者：刘少锋[1];张红[1];和青青[1];沈士根[2];曹奇英[1]

机构：[1]东华大学计算机科学与技术学院,上海201620;[2]绍兴文理学院计算机科学与工程系,浙江绍兴312000

年份：2021

卷号：38

期号：11

起止页码：307

中文期刊名：计算机应用与软件

外文期刊名：Computer Applications and Software

收录：CSTPCD、、北大核心、北大核心2020

基金：国家自然科学基金项目(61772018)。

语种：中文

中文关键词：异质传感网络;传染病模型;潜伏期;基本再生数

外文关键词：Heterogeneous sensor networks;Epidemic model;Latent period;Basic regeneration number

中文摘要：为了更加准确地揭示恶意程序在异质传感网络中的传播规律,考虑异质传感器节点的移动性,基于扩展经典传染病理论而提出具有不同恶意程序潜伏期的延迟HSEIRD(Heterogeneous Susceptible-Exposed-Infected-Recovered-Dead)模型。计算得出该模型的稳定点,并使用下一代矩阵算法,得到该模型的基本再生数。进行数值模拟,以验证不同恶意程序潜伏期和自由移出率对异质传感网络稳定性的影响。

外文摘要：In order to more accurately reveal the propagation of malware in heterogeneous sensor networks, a delayed HSEIRD(Heterogeneous Susceptible-Exposed-Infected-Recovered-Dead) model with different latency of malware is proposed based on extending classic epidemic, which considers mobility of heterogeneous sensor nodes. The stability point of the model was calculated, and the next generation matrix algorithm was used to calculate the basic regeneration number of the model. The numerical simulations were performed to verify the impact of different malware latency and the free removal rate on the stability of heterogeneous sensor networks.