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A Resource Consumption Attack Identification Method Based on Data Fusion

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Smart Grid and Innovative Frontiers in Telecommunications (SmartGIFT 2020)

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Abstract

Data fusion can make use of information from different sources or different representations to describe the target more accurately, which has important research significance. Aiming at the network-running node may be attacked or there is measurement error, this paper comprehensively utilizes the information of each node, and proposes a resource consumption attack identification method based on node multi-dimensional data fusion. First, construct a correlation matrix between nodes, identify normal nodes and possible abnormal nodes, and assign different weights to each node. Then, calculating the support of the node's system attributes for the attack type, and adopting the D-S evidence theory to effectively identify the network attack. The simulations demonstrate the effectiveness and certain advantages of the proposed algorithm.

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Acknowledgement

This work was supported by National Key R&D Program of China (2019YFB2103202, 2019YFB2103200), Open Subject Funds of Science and Technology on Communication Networks Laboratory (6142104200106).

Author information

Authors and Affiliations

  1. Science and Technology on Communication Networks Laboratory, The 54th Research Institute of CETC, Shijiazhuang, Hebei, People’s Republic of China

    Libin Jiao & Yonghua Huo

  2. R & D Department, Agricultural Bank of China, Shanghai, People’s Republic of China

    Ningling Ge

  3. State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, People’s Republic of China

    Zhongdi Ge & Yang Yang

Authors
  1. Libin Jiao
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  2. Yonghua Huo
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  3. Ningling Ge
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  4. Zhongdi Ge
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  5. Yang Yang
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Corresponding author

Correspondence to Yang Yang .

Editor information

Editors and Affiliations

  1. Illinois Institute of Technology, Chicago, IL, USA

    Maggie Cheng

  2. Beijing University of Posts and Telecommunications, Beijing, China

    Peng Yu

  3. Illinois Institute of Technology, Chicago, IL, USA

    Yuan Hong

  4. North China Electric Power University, Huabei, China

    Huibin Jia

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© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Jiao, L., Huo, Y., Ge, N., Ge, Z., Yang, Y. (2021). A Resource Consumption Attack Identification Method Based on Data Fusion. In: Cheng, M., Yu, P., Hong, Y., Jia, H. (eds) Smart Grid and Innovative Frontiers in Telecommunications. SmartGIFT 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 373. Springer, Cham. https://doi.org/10.1007/978-3-030-73562-3_11

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  • DOI: https://doi.org/10.1007/978-3-030-73562-3_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-73561-6

  • Online ISBN: 978-3-030-73562-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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