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Masking Algorithm for Multiple Crosstalk Attack Source Identification Under Greedy Sparse Monitoring

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Information Security Practice and Experience (ISPEC 2016)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 10060))

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Abstract

In this article, a multiple crosstalk attacks source identification algorithm under sparse monitoring called Masking algorithm is proposed where the placement of monitors is selected based on the Greedy sparse monitor placement algorithm. The result obtained show that the proposed algorithm successfully identifies multiple sources of crosstalk attack under worst case scenario of 3-level crosstalk attack propagation model in 8-node Grid and Europe 11-node COST239 networks.

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Authors and Affiliations

  1. Faculty of Computing Informatics, Faculty of Engineering, Multimedia University, Jalan Multimedia, 63100, Cyberjaya, Malaysia

    Hong Wei Siew, Saw Chin Tan & Ching Kwang Lee

Authors
  1. Hong Wei Siew
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  2. Saw Chin Tan
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  3. Ching Kwang Lee
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Corresponding author

Correspondence to Saw Chin Tan .

Editor information

Editors and Affiliations

  1. Huawei International, Singapore, Singapore

    Feng Bao

  2. University of Surrey, Guilford, Surrey, United Kingdom

    Liqun Chen

  3. Singapore Management University, Singapore, Singapore

    Robert H. Deng

  4. Guangzhou University, Guangzhou, Guangdong, China

    Guojun Wang

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© 2016 Springer International Publishing AG

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Siew, H.W., Tan, S.C., Lee, C.K. (2016). Masking Algorithm for Multiple Crosstalk Attack Source Identification Under Greedy Sparse Monitoring. In: Bao, F., Chen, L., Deng, R., Wang, G. (eds) Information Security Practice and Experience. ISPEC 2016. Lecture Notes in Computer Science(), vol 10060. Springer, Cham. https://doi.org/10.1007/978-3-319-49151-6_10

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  • DOI: https://doi.org/10.1007/978-3-319-49151-6_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-49150-9

  • Online ISBN: 978-3-319-49151-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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