Research Article
Dual Scheme Privacy-Preserving Approach for Location-Aware Application in Edge Computing
@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
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.
