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Dual Scheme Privacy-Preserving Approach for Location-Aware Application in Edge Computing

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Ad Hoc Networks and Tools for IT (ADHOCNETS 2021, TridentCom 2021)

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Abstract

The location awareness capabilities of edge computing (EC) contains large quantity of the physical devices with short coverage range. The possibilities of the potential private data attacks from adversaries increases dramatically through easily accessible location information. The existing research on privacy-preserving schemes cannot meet various privacy-preserving expectations in practice for EC variants. In this paper, we proposed a dual scheme customizable \(\epsilon \)-differential privacy preservation to provide comprehensive protection. We establish the first scheme by clustering Edge Nodes (ENs) with SDN-enabled EC where SDN enables the capabilities of the programmability. In addition, we customize the \(\epsilon \)-differential privacy preservation scheme for variant EC services with the employment of modified Laplacian mechanism to generate noise, where the optimal tradeoff been found. The extensive experiments results demonstrate the significance of the proposed model in terms of privacy protection level and data utility, respectively.

Supported by Intelligent Technology Innovation Lab (ITIL), Victoria University.

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Authors and Affiliations

  1. Intelligent Technology Innovation Lab, Victoria University, Footscray, Australia

    Bruce Gu, Khandakar Ahmed, Wenjie Ye & Yuan Miao

  2. Deakin Blockchain Innovation Lab, Deakin University, Burwood, Australia

    Youyang Qu & Chenchen Tan

Authors
  1. Bruce Gu
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  2. Youyang Qu
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  3. Khandakar Ahmed
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  4. Wenjie Ye
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  5. Chenchen Tan
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  6. Yuan Miao
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Corresponding author

Correspondence to Bruce Gu .

Editor information

Editors and Affiliations

  1. School of Computer Science, University of Sydney, Camperdown, NSW, Australia

    Wei Bao

  2. Monash University, Clayton, VIC, Australia

    Xingliang Yuan

  3. School of Information Technology, Deakin University, Mont Albert, VIC, Australia

    Longxiang Gao

  4. School of Cyber Engineering, Xidian University, Xi'an, China

    Tom H. Luan

  5. School of Electronic Engineering, School of Computer Science and Engineering, Soongsil University, Dongjak, Seoul, Korea (Republic of)

    David Bong Jun Choi

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Gu, B., Qu, Y., Ahmed, K., Ye, W., Tan, C., Miao, Y. (2022). Dual Scheme Privacy-Preserving Approach for Location-Aware Application in Edge Computing. In: Bao, W., Yuan, X., Gao, L., Luan, T.H., Choi, D.B.J. (eds) Ad Hoc Networks and Tools for IT. ADHOCNETS TridentCom 2021 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 428. Springer, Cham. https://doi.org/10.1007/978-3-030-98005-4_22

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  • DOI: https://doi.org/10.1007/978-3-030-98005-4_22

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  • Online ISBN: 978-3-030-98005-4

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