Measurement of Local Differential Privacy Techniques for IoT-based Streaming Data

Sharmin Afrose, Danfeng Daphne Yao, Olivera Kotevska

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Various Internet of Things (IoT) devices generate complex, dynamically changed, and infinite data streams. Adversaries can cause harm if they can access the user's sensitive raw streaming data. For this reason, protecting the privacy of the data streams is crucial. In this paper, we explore local differential privacy techniques for streaming data. We compare the techniques and report the advantages and limitations. We also present the effect on component (e.g., smoother, perturber) variations of distribution-based local differential privacy. We find that combining distribution-based noise during perturbation provides more flexibility to the interested entity.

Original languageEnglish
Title of host publication2021 18th International Conference on Privacy, Security and Trust, PST 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665401845
DOIs
StatePublished - 2021
Event18th International Conference on Privacy, Security and Trust, PST 2021 - Auckland, New Zealand
Duration: Dec 13 2021Dec 15 2021

Publication series

Name2021 18th International Conference on Privacy, Security and Trust, PST 2021

Conference

Conference18th International Conference on Privacy, Security and Trust, PST 2021
Country/TerritoryNew Zealand
CityAuckland
Period12/13/2112/15/21

Funding

This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The publisher acknowledges the US government license to provide public access under the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan). VII. ACKNOWLEDGEMENT Research sponsored by the Laboratory Directed Research and Development Program of Oak Ridge National Laboratory, managed by UT-Battelle, LLC, for the U.S. Department of Energy under contract DE-AC05-00OR22725. This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The publisher acknowledges the US government license to provide public access under the DOE Public Access Plan (http://energy.gov/downloads/ doe-public-access-plan).

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