JOURNAL ARTICLE

Privacy Protection for Blockchain-Based Healthcare IoT Systems: A Survey

Minfeng QiZiyuan WangQing‐Long HanJun ZhangShiping ChenYang Xiang

Year: 2022 Journal:   IEEE/CAA Journal of Automatica Sinica Vol: 11 (8)Pages: 1757-1776   Publisher: Institute of Electrical and Electronics Engineers

Abstract

To enable precision medicine and remote patient monitoring, internet of healthcare things (IoHT) has gained significant interest as a promising technique. With the widespread use of IoHT, nonetheless, privacy infringements such as IoHT data leakage have raised serious public concerns. On the other side, blockchain and distributed ledger technologies have demonstrated great potential for enhancing trustworthiness and privacy protection for IoHT systems. In this survey, a holistic review of existing blockchain-based IoHT systems is conducted to indicate the feasibility of combining blockchain and IoHT in privacy protection. In addition, various types of privacy challenges in IoHT are identified by examining general data protection regulation (GDPR). More importantly, an associated study of cutting-edge privacy-preserving techniques for the identified IoHT privacy challenges is presented. Finally, several challenges in four promising research areas for blockchain-based IoHT systems are pointed out, with the intent of motivating researchers working in these fields to develop possible solutions.

Keywords:
Blockchain Internet of Things Internet privacy Computer security Information privacy Trustworthiness Computer science Privacy protection Privacy by Design Data Protection Act 1998 The Internet Business World Wide Web

Metrics

22
Cited By
8.36
FWCI (Field Weighted Citation Impact)
136
Refs
0.97
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Blockchain Technology Applications and Security
Physical Sciences →  Computer Science →  Information Systems
IoT and Edge/Fog Computing
Physical Sciences →  Computer Science →  Computer Networks and Communications
Privacy-Preserving Technologies in Data
Physical Sciences →  Computer Science →  Artificial Intelligence
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