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A Novel Evaluation Model of Data Security Protection Capability in Edge Computing Environment

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Advances in Artificial Intelligence and Security (ICAIS 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1587))

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Abstract

With the rapid development and wide application of 5G networks, artificial intelligence, and big data, traditional cloud computing cannot handle the massive data generated by edge terminals. Edge computing has gradually been widely used as a computing method close to objects. However, due to the open features of edge computing, such as content perception, real-time computing, and parallel processing, the data security issues that already exist in the cloud computing environment have become more prominent. Data security protection capability evaluation is an important part of the improvement of data security capabilities. However, current protection capability evaluations are mostly qualitative evaluations and lack quantitative evaluation models. Aiming at the edge computing network architecture, this paper proposes a data security protection capability evaluation model based on weight presets. By studying the edge architecture data security protection capability score and cost curve, the data security protection model is adaptively selected. Experiments show that the method can quantitatively calculate the data security protection capability in the edge computing environment, and can guide the construction of the protection model through the score-cost curve.

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Funding

The authors declare that they have no conflicts of interest to report regarding the present study.

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Authors and Affiliations

  1. China Industrial Control Systems Cyber Emergency Response Team, Beijing, 100040, China

    Caiyun Liu, Yan Sun, Jun Li & Mo Wang

  2. University of Leicester, Leicester, LE1 7RH, UK

    Tao Wang

Authors
  1. Caiyun Liu
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  2. Yan Sun
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  3. Jun Li
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  4. Mo Wang
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  5. Tao Wang
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Corresponding author

Correspondence to Jun Li .

Editor information

Editors and Affiliations

  1. Nanjing University of Information Science and Technology, Nanjing, China

    Xingming Sun

  2. Nanjing University of Information Science and Technology, Nanjing, China

    Xiaorui Zhang

  3. Jinan University, Guangzhou, China

    Zhihua Xia

  4. Purdue University, West Lafayette, IN, USA

    Elisa Bertino

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© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Liu, C., Sun, Y., Li, J., Wang, M., Wang, T. (2022). A Novel Evaluation Model of Data Security Protection Capability in Edge Computing Environment. In: Sun, X., Zhang, X., Xia, Z., Bertino, E. (eds) Advances in Artificial Intelligence and Security. ICAIS 2022. Communications in Computer and Information Science, vol 1587. Springer, Cham. https://doi.org/10.1007/978-3-031-06761-7_44

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  • DOI: https://doi.org/10.1007/978-3-031-06761-7_44

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-06760-0

  • Online ISBN: 978-3-031-06761-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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