Privacy-Aware Edge Computing in Social Sensing Applications Using Ring Signatures

Nathan Vance, Daniel Zhang, Yang Zhang, Dong Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Privacy on the Internet has become a major concern in recent years and is an ethical dilemma for Internet based applications. Social Sensing based Edge Computing (SSEC)is a category of distributed applications in which privately owned devices at the 'edge' of the network participate in data collection and processing. Traditionally in SSEC, it has been difficult to manage privacy without making a tradeoff with performance or accuracy. In this paper, we present Privacy-aware Edge Computing (PEC), a framework that utilizes ring signatures for implementing social sensing applications with full privacy and without sacrificing data quality. Under PEC, privacy is managed by the edge devices without the need of a third party trusted authority. We evaluate the performance of PEC on a realworld edge computing platform and through extensive simulation studies. The results demonstrate that PEC achieves a high level of anonymity with a constrained cryptographic overhead.

Original languageEnglish (US)
Title of host publicationProceedings - 2018 IEEE 24th International Conference on Parallel and Distributed Systems, ICPADS 2018
PublisherIEEE Computer Society
Pages755-762
Number of pages8
ISBN (Electronic)9781538673089
DOIs
StatePublished - Feb 19 2019
Externally publishedYes
Event24th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2018 - Singapore, Singapore
Duration: Dec 11 2018Dec 13 2018

Publication series

NameProceedings of the International Conference on Parallel and Distributed Systems - ICPADS
Volume2018-December
ISSN (Print)1521-9097

Conference

Conference24th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2018
Country/TerritorySingapore
CitySingapore
Period12/11/1812/13/18

Keywords

  • Edge Computing
  • Privacy
  • Ring Signaure
  • Scalability
  • Social Sensing

ASJC Scopus subject areas

  • Hardware and Architecture

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