Efficient immunization algorithm for peer-to-peer networks

  • Authors:
  • Hao Chen;Hai Jin;Jianhua Sun;Zongfen Han

  • Affiliations:
  • Cluster and Grid Computing Lab, Huazhong University of Science and Technology, Wuhan, China;Cluster and Grid Computing Lab, Huazhong University of Science and Technology, Wuhan, China;Cluster and Grid Computing Lab, Huazhong University of Science and Technology, Wuhan, China;Cluster and Grid Computing Lab, Huazhong University of Science and Technology, Wuhan, China

  • Venue:
  • HiPC'04 Proceedings of the 11th international conference on High Performance Computing
  • Year:
  • 2004

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Abstract

In this paper, we present a detail study about the immunization of viruses in Peer-to-Peer networks exhibiting power-law degree distributions By comparing two different immunization strategies (randomized and degree-based), we conclude that it is efficient to immunize the highly connected nodes in order to eradicate viruses from the network Furthermore, we propose an efficient updating algorithm for global virus database according to the degree-based immunization strategy.