| Title | Privacy-Preserving Framework to Facilitate Shared Data Access for Wearable Devices |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Troyer, Dane, Henry, Justin, Maleki, Hoda, Dorai, Gokila, Sumner, Bethany, Agrawal, Gagan, Ingram, Jon |
| Conference Name | 2021 IEEE International Conference on Big Data (Big Data) |
| Keywords | Adaptation models, Big Data, blockchain, Conferences, data privacy, Health data sharing, Human Behavior, Medical services, privacy, Protocols, pubcrawl, resilience, Resiliency, Scalability, security, wearable computers, Wearable Device, wearables security |
| 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. |
| DOI | 10.1109/BigData52589.2021.9671690 |
| Citation Key | troyer_privacy-preserving_2021 |
Privacy-Preserving Framework to Facilitate Shared Data Access for Wearable Devices