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。
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.
作者
刘少锋
张红
和青青
沈士根
曹奇英
Liu Shaofeng;Zhang Hong;He Qingqing;Shen Shigen;Cao Qiying(College of Computer Science and Technology,Donghua University,Shanghai 201620,China;Department of Computer Science and Engineering,Shaoxing University,Shaoxing 321000,Zhejiang,China)
出处
《计算机应用与软件》
北大核心
2021年第11期307-313,共7页
Computer Applications and Software
基金
国家自然科学基金项目(61772018)。
关键词
异质传感网络
传染病模型
潜伏期
基本再生数
Heterogeneous sensor networks
Epidemic model
Latent period
Basic regeneration number
