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Malware propagation in scale-free networks for the nodes with different anti-attack abilities

Jiang Guo-Ping Song Yu-Rong

Malware propagation in scale-free networks for the nodes with different anti-attack abilities

Jiang Guo-Ping, Song Yu-Rong
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  • Abstract views:  3647
  • PDF Downloads:  1040
  • Cited By: 0
Publishing process
  • Received Date:  01 April 2009
  • Accepted Date:  15 May 2009
  • Published Online:  15 February 2010

Malware propagation in scale-free networks for the nodes with different anti-attack abilities

  • 1. (1)南京邮电大学控制与智能技术研究中心,南京 210003; (2)南京邮电大学控制与智能技术研究中心,南京 210003;南京邮电大学自动化学院,南京 210003

Abstract: Considering the nodes with different anti-attack abilities in scale-free networks,we investigated the probabilistic behaviors of malware propagation in scale-free complex networks. Using the cellular automata,we proposed a model of malware propagation in complex networks with the nodes having different anti-attack abilities. In particular,a vulnerability function related to node’s degree is firstly introduced into the model to describe the different anti-attack abilities of nodes. Then,the epidemic threshold and time evolution of malware propagation are investigated through analysis and simulation for the various vulnerability functions. The results show that different anti-attack abilities of nodes can produce significant effects on the behaviors of propagation. For example,different anti-attack abilities of nodes can change the value of epidemic propagation,and slow down the spreading speed of malware. Finally,it is pointed out that the vulnerability function is very important for adopting appropriate immunization strategies to control the malware propagation.

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