[1]陈建云,林建滨.良性与恶性蠕虫模型在气象物联网中的应用分析[J].计算机技术与发展,2019,29(06):116-118.[doi:10. 3969 / j. issn. 1673-629X. 2019. 06. 024]
 CHEN Jian-yun,LIN Jian-bin.Application and Analysis of Interactions of Hybrid Benign Worm and Two Malicious Worms in Meteorological Internet of Things[J].,2019,29(06):116-118.[doi:10. 3969 / j. issn. 1673-629X. 2019. 06. 024]
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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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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
29
期数:
2019年06期
页码:
116-118
栏目:
安全与防范
出版日期:
2019-06-10

文章信息/Info

Title:
Application and Analysis of Interactions of Hybrid Benign Worm and Two Malicious Worms in Meteorological Internet of Things
文章编号:
1673-629X(2019)06-0116-03
作者:
陈建云林建滨
福建省福州市气象局,福建 福州 350008
Author(s):
CHEN Jian-yunLIN Jian-bin
Meteorological Bureau of Fuzhou City,Fujian Province,Fuzhou 350008,China
关键词:
气象物联网动力学模型良性蠕虫数值仿真
Keywords:
meteorological internet of thingsdynamic modelbenign wormnumerical simulation
分类号:
TP309
DOI:
10. 3969 / j. issn. 1673-629X. 2019. 06. 024
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。
Abstract:
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.

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更新日期/Last Update: 2019-06-10