conference-paper

Privacy-Preserving Framework to Facilitate Shared Data Access for Wearable Devices

  • 2021 IEEE International Conference on Big Data (Big Data)
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Abstract

Wearable devices are emerging as effective modalities for the collection of individuals’ data. While this data can be leveraged for use in several areas ranging from health-care to crime investigation, storing and securely accessing such information while preserving privacy and detecting any tampering attempts are significant challenges. This paper describes a decentralized system that ensures an individual’s privacy, maintains an immutable log of any data access, and provides decentralized access control management. Our proposed framework uses a custom permissioned blockchain protocol to securely log data transactions from wearable devices in the blockchain ledger. We have implemented a proof-of-concept for our framework, and our preliminary evaluation is summarized to demonstrate our proposed framework’s capabilities. We have also discussed various application scenarios of our privacy-preserving model using blockchain and proof-of-authority. Our research aims to detect data tampering attempts in data sharing scenarios using a thorough transaction log model.

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Publication details

DOI
10.1109/bigdata52589.2021.9671690
OpenAlex
W4205475173
Document type
conference-paper
Language
EN
Source
2021 IEEE International Conference on Big Data (Big Data)
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