Computer Science

Computer Science ›› 2022, Vol. 49 ›› Issue (6A): 738-743.doi: 10.11896/jsjkx.210300212

• Interdiscipline & Application • Previous Articles     Next Articles

Dynamic Model and Analysis of Spreading of Botnet Viruses over Internet of Things

ZHANG Xi-ran1, LIU Wan-ping1, LONG Hua2   

  1. 1 School of Computer Science and Engineering,Chongqing University of Technology,Chongqing 400054,China
    2 School of Artificial Intelligence,Chongqing University of Technology,Chongqing 400054,China
  • Online:2022-06-10 Published:2022-06-08
  • About author:ZHANG Xi-ran,born in 1994,postgra-duate.His main research interests include Internet of things virus and epidemic models.
    LIU Wan-ping,born in 1986,Ph.D,associate professor,research supervisor,is a member of China Computer Federation.His main research interests include cyberspace security dynamics and information security.
  • Supported by:
    Natural Science Foundation of Chongqing,China(cstc2021jcyj-msxmX0594) and Science and Technology Research Program of Chongqing Municipal Education Commission (KJQN201901101).

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Abstract: With the innovation and progress of imformation technology,Internet of things(IoT) technology grows explosively growth in various fields.However,devices over these networks are suffering the threat of hackers.The rapid growth of IoT-Botnets in recent years leads to many security occurrences including large-scale DDoS attacks,which brings IoT users severe damages.Therefore,it is significant to study the spread of a group of botnets represented by Mirai virus among IoT networks.In order to describe the formation process of IoT botnet precisely,this paper classifies the nodes of IoT devices into transmission devices and function devices,and then proposes SDIV-FB,a novel IoT virus dynamics model,through the analysis of Mirai virus propagation mechanism.The spreading threshold and equiliabrium of the model system are calculated,and the stability of the equiliabria are proved and analyzed.Moreover,the rationality of the derived theories are proved through the numerical simulation experiments,and the effectiveness of the model parameters are verified as well.Finally,decreasing the infection rate and increasing the recovery rate are proposed in this paper as two effective strategies for controlling the IoT botnets.

Key words: Botnet networks, Internet of things (IoT), Mirai virus, SDIV-FB model, Spreading threshold

CLC Number: 

  • TP393
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