About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
Ad Hoc Networks and Tools for IT. 13th EAI International Conference, ADHOCNETS 2021, Virtual Event, December 6–7, 2021, and 16th EAI International Conference, TRIDENTCOM 2021, Virtual Event, November 24, 2021, Proceedings

Research Article

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

Download(Requires a free EAI acccount)
5 downloads
Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-030-98005-4_22,
        author={Bruce Gu and Youyang Qu and Khandakar Ahmed and Wenjie Ye and Chenchen Tan and Yuan Miao},
        title={Dual Scheme Privacy-Preserving Approach for Location-Aware Application in Edge Computing},
        proceedings={Ad Hoc Networks and Tools for IT. 13th EAI International Conference, ADHOCNETS 2021, Virtual Event, December 6--7, 2021, and 16th EAI International Conference, TRIDENTCOM 2021, Virtual Event, November 24, 2021, Proceedings},
        proceedings_a={ADHOCNETS \& TRIDENTCOM},
        year={2022},
        month={3},
        keywords={Edge computing Privacy-preserving Software defined network Differential privacy Location-aware application},
        doi={10.1007/978-3-030-98005-4_22}
    }
    
  • Bruce Gu
    Youyang Qu
    Khandakar Ahmed
    Wenjie Ye
    Chenchen Tan
    Yuan Miao
    Year: 2022
    Dual Scheme Privacy-Preserving Approach for Location-Aware Application in Edge Computing
    ADHOCNETS & TRIDENTCOM
    Springer
    DOI: 10.1007/978-3-030-98005-4_22
Bruce Gu1,*, Youyang Qu2, Khandakar Ahmed1, Wenjie Ye1, Chenchen Tan2, Yuan Miao1
  • 1: Intelligent Technology Innovation Lab
  • 2: Deakin Blockchain Innovation Lab
*Contact email: bruce.gu@vu.edu.au

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.

Keywords
Edge computing Privacy-preserving Software defined network Differential privacy Location-aware application
Published
2022-03-27
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-98005-4_22
Copyright © 2021–2025 ICST
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL