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Identifying Propagation Source in Large-Scale Networks

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Malicious Attack Propagation and Source Identification

Part of the book series: Advances in Information Security ((ADIS,volume 73))

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Abstract

The global diffusion of epidemics, rumors and computer viruses causes great damage to our society. It is critical to identify the diffusion sources and promptly quarantine them. However, one critical issue of current methods is that they are far are unsuitable for large-scale networks due to the computational cost and the complex spatiotemporal diffusion processes. In this chapter, we introduce a community structure based approach to efficiently identify diffusion sources in large networks.

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Authors and Affiliations

  1. Swinburne University of Technology, Hawthorne, Melbourne, VIC, Australia

    Jiaojiao Jiang & Sheng Wen

  2. La Trobe University, Bundoora, VIC, Australia

    Bo Liu

  3. University of Technology Sydney, Ultimo, NSW, Australia

    Shui Yu & Yang Xiang

  4. Digital Research & Innovation Capability, Swinburne University of Technology, Hawthorn, Melbourne, VIC, Australia

    Wanlei Zhou

Authors
  1. Jiaojiao Jiang
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  2. Sheng Wen
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  3. Shui Yu
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  4. Bo Liu
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  5. Yang Xiang
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  6. Wanlei Zhou
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Jiang, J., Wen, S., Yu, S., Liu, B., Xiang, Y., Zhou, W. (2019). Identifying Propagation Source in Large-Scale Networks. In: Malicious Attack Propagation and Source Identification. Advances in Information Security, vol 73. Springer, Cham. https://doi.org/10.1007/978-3-030-02179-5_12

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  • DOI: https://doi.org/10.1007/978-3-030-02179-5_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-02178-8

  • Online ISBN: 978-3-030-02179-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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