Privacy challenges for Internet of Medical Things

Tahir, Sabeen, Li, Yinhao, Barati, Masoud, Rana, Omer ORCID: https://orcid.org/0000-0003-3597-2646, Ranjan, Rajiv, Aujla, Gagangeet Singh and Duodu, Kwabena Adu 2024. Privacy challenges for Internet of Medical Things. Ranjan, Rajiv, Mitra, Karan, Jayaraman, Prem Prakash and Zomaya, Albert Y., eds. Managing Internet of Things Applications across Edge and Cloud Data Centres, IET, pp. 223-228. (10.1049/PBPC027E_ch9)

Full text not available from this repository.

Abstract

The Internet of Medical Things (IoMT) can be used to support the remote monitoring of patients using communication and sensing technologies. Security and privacy concerns in IoMT related to patient data are important issues for regulatory bodies, requiring the formulating and implementing laws that protect patients. The European General Data Protection Regulation (GDPR) provides a number of data protection rules that make it easier for citizens to know how their information is being used by external data processors. Citizens can raise complaints to the relevant legal authorities in case of a violation. GDPR Art. 5 imposes lawfulness, fairness, and transparency of data access as requirements that need to be met by a data processor. Medical data is sensitive and the existing healthcare ecosystem often lacks a secure architecture, that can lead to potential data breaches with consequences for both patients and healthcare providers. In this chapter, a multi-layered blockchain-based GDPR compliance verification technique is outlined as a solution for carrying out a privacy audit on how a patient's data has been handled. The multi-layer architecture includes medical sensors, gateways, edge devices, and cloud systems that need to work collectively to offer efficient and secure services to patients. To verify GDPR compliance, a blockchain-based provenance log is integrated with edge devices and cloud systems. A blockchain can be used to record various data activities at the different layers specified above and can be used to verify GDPR compliance.

Item Type:	Book Section
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
Publisher:	IET
ISBN:	9781785617799
Funders:	EPSRC
Date of Acceptance:	1 May 2024
Last Modified:	13 Aug 2024 13:15
URI:	https://orca.cardiff.ac.uk/id/eprint/170675

Actions (repository staff only)

Edit Item