良性与恶性蠕虫模型在气象物联网中的应用分析
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摘要
根据气象物联网的特征,结合生物学传染病动力学模型,考虑多个现实影响因素,如节点的出生率、自然死亡率、因病死亡率以及节点的移动性,构建了一个新颖的混合良性蠕虫对抗双恶性蠕虫的传播模型。针对气象物联网的传播特性,研究良性蠕虫对抗恶性蠕虫的技术,提出了一个新颖的在气象物联网中混合良性蠕虫对抗双恶性蠕虫的传播模型。依托物联网平台,利用研究和刻画蠕虫传播机理的有效工具数学模型分析了多蠕虫在气象物联网上的传播机理,基于传染病动力学理论分析了网络系统在达到不同平衡状态下的平衡点。理论和数值仿真结果表明,该模型可较为准确地刻画良性蠕虫与双蠕虫在网络上的对抗传播过程。
Based on the characteristics of meteorological internet of things(IoT) and the dynamic model of biologic infectious diseases,we construct a novel propagation model of mixed benign worms against double malignant worms in consideration of the birth rate of nodes,natural mortality and mobility of nodes. In view of the propagation of meteorological IoT,the technology of benign worms against the malignant worms is studied,and a novel propagation model of a benign worm against double malignant worms in the IoT is proposed. Based on the platform of IoT,we analyze the propagation mechanism of multiple worms in the weather network according to the mathematical model of studying and characterizing the mechanism of worm propagation,and analyze the equilibrium point of the network system in different equilibrium states based on the theory of infectious disease dynamics. The results of theory and numerical simulation show that the model can accurately depict the communication process between benign worms and double worms on the network.
Based on the characteristics of meteorological internet of things(IoT) and the dynamic model of biologic infectious diseases,we construct a novel propagation model of mixed benign worms against double malignant worms in consideration of the birth rate of nodes,natural mortality and mobility of nodes. In view of the propagation of meteorological IoT,the technology of benign worms against the malignant worms is studied,and a novel propagation model of a benign worm against double malignant worms in the IoT is proposed. Based on the platform of IoT,we analyze the propagation mechanism of multiple worms in the weather network according to the mathematical model of studying and characterizing the mechanism of worm propagation,and analyze the equilibrium point of the network system in different equilibrium states based on the theory of infectious disease dynamics. The results of theory and numerical simulation show that the model can accurately depict the communication process between benign worms and double worms on the network.
引文
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[11] WANG Fangwei,ZHANG Yunkai,WANG Changguang,et al.Stability analysis of an e-SEIAR model with point-to-group worm propagation[J].Communications in Nonlinear Science and Numerical Simulation,2015,20(3):897-904.
[12] MA J,CHEN Z,WU W,et al.Influences of removable devices on the anti-threat model:dynamic analysis and control strategies[J].Information,2015,6(3):536-549.
[13] MA J,CHEN Z,LIU J,et al.Analysis of two-worm interaction model in heterogeneous M2M network[J].Information,2015,6(4):613-632.
[2] WANG Yini,WEN Sheng,XIANG Yang,et al.Modeling the propagation of worms in networks:a survey[J].IEEE Communications Surveys & Tutorials,2014,16(2):942-960.
[3] ZHENG Xufei,LI Tao,FANG Yonghui.Strategy of fast and light-load cloud-based proactive benign worm countermeasure technology to contain worm propagation[J].The Journal of Supercomputing,2012,62(3):1451-1479.
[4] 严博,吴晓平,廖巍,等.基于随机进程代数的P2P网络蠕虫对抗传播特性分析[J].电子学报,2012,40(2):293-299.
[5] TOUTONJI O,YOO S M.Passive benign worm propagation modeling with dynamic quarantine defense[J].KSII Transactions on Internet and Information Systems,2009,3(1):96-107.
[6] XIAO Xi,FU Peng,DOU Changsheng,et al.Design and analysis of SEIQR worm propagation model in mobile internet[J].Communications in Nonlinear Science and Numerical Simulation,2017,43:341-350.
[7] 周翰逊,赵宏,闻英友.分而治之的混合型良性蠕虫的建模与分析[J].计算机研究与发展,2009,46(7):1110-1116.
[8] 王超,卿斯汉,何建波.基于混合对抗技术的对抗性蠕虫[J].通信学报,2007,28(1):28-34.
[9] 唐浩坤,刘宴兵,黄俊,等.基于形式化逻辑矩阵的结构化 P2P 蠕虫对抗模型[J].计算机科学,2013,40(5):141-146.
[10] MISHRA B K,PANDEYSK.Dynamic model of worms with vertical transmission in computer network[J].Applied Mathematics and Computation,2011,217(21):8438-8446.
[11] WANG Fangwei,ZHANG Yunkai,WANG Changguang,et al.Stability analysis of an e-SEIAR model with point-to-group worm propagation[J].Communications in Nonlinear Science and Numerical Simulation,2015,20(3):897-904.
[12] MA J,CHEN Z,WU W,et al.Influences of removable devices on the anti-threat model:dynamic analysis and control strategies[J].Information,2015,6(3):536-549.
[13] MA J,CHEN Z,LIU J,et al.Analysis of two-worm interaction model in heterogeneous M2M network[J].Information,2015,6(4):613-632.
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