文献类型：期刊文献

中文题名：基于扩展传染病模型的异质传感网恶意程序传播建模与分析

英文题名：Modeling and Analyzing Malware Spread in Heterogeneous Sensor Networks Based on Extended Epidemic Model

作者：沈士根[1];周海平[1];黄龙军[1];冯晟[1];刘建华[1];张红[2];曹奇英[2]

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

年份：2019

卷号：32

期号：6

起止页码：923

中文期刊名：传感技术学报

外文期刊名：Chinese Journal of Sensors and Actuators

收录：CSTPCD、、北大核心2017、Scopus、CSCD2019_2020、北大核心、CSCD

基金：国家自然科学基金项目(61772018,61572014);浙江省公益技术研究项目(LGG19F020007)

语种：中文

中文关键词：异质传感网;恶意程序;传染病模型;稳定点;基本再生数

外文关键词：heterogeneous sensor networks;malware;epidemic model;equilibrium point;basic regeneration number

中文摘要：为揭示异质传感网恶意程序传播规律,提出一种基于扩展传染病理论的异质传感网恶意程序传播建模与分析方法。依据异质传感器节点状态的分析,扩展传统SIR(Susceptible-Infected-Removed)传染病模型,得到异质传感器节点状态转换关系模型。以一个异质传感器节点与其通信的节点数反映其异质特性,使用微分方程形式建立能反映异质传感网恶意程序传播过程中具有不同度的异质传感器节点状态动态变化的HSIORD(Heterogeneous Susceptible-Infected-isOlated-Removed-Deceased)模型。依据稳定点的数学特性,计算该模型的稳定点。采用下一代矩阵法计算该模型的基本再生数,并证明该模型稳定点的稳定性。通过实验仿真,验证了异质传感网恶意程序消亡的理论依据,为管理员有效抑制异质传感网恶意程序传播提供理论指导。

外文摘要：To disclose rules of malware spread in Heterogeneous Sensor Networks(HSNs),we propose a method to model and analyze the process of HSN malware spread based on the extended epidemic model. According to analyses on statuses of Heterogeneous sensor Nodes(HNs),we extend the traditional Susceptible-Infected-Removed(SIR)model and attain a model expressing transition relations among all HN statuses. Based on the heterogeneous character that is reflected by the communication node number of an HN,we employ differential equations to construct a Heterogeneous Susceptible-Infected-isOlated-Removed-Deceased(HSIORD)model,which presents dynamic status changes of HNs with different degrees during the process of malware spread in HSNs. We then compute the equilibrium points of the HSIORD model in the light of the mathematical character of an equilibrium point. Further,we compute the basic regeneration number of the HSIORD model using the next generation matrix,and prove the stability of the equilibrium point to indicate that malware in HSNs will die out. Via experimental simulations,we verify the theoretical results about the stability,which can provide administrators with theoretical guidance on suppressing malware spread in HSNs.