A new approach for secure cloud-based Electronic Health Record and its experimental testbed

Jusak, Jusak, Mahmoud, Seedahmed S., Laurens, Roy, Alsulami, Musleh, and Fang, Qiang (2022) A new approach for secure cloud-based Electronic Health Record and its experimental testbed. IEEE Access, 10. pp. 1082-1095.

Preview

PDF (Published Version) - Published Version
Available under License Creative Commons Attribution.
Download (22MB) | Preview

DOI: 10.1109/ACCESS.2021.3138135

View at Publisher Website: https://doi.org/10.1109/ACCESS.2021.3138...

1079

Abstract

The tremendous development of the Internet of Things (IoT) technology in the last decades has fostered advancement in automatic medical assistive devices to support the existing Electronic Health Record (EHR) system. As an integral part of the EHR electronic model, public cloud servers store medical data. Unfortunately, public cloud servers are prone to security and privacy breach. This paper introduces a novel non-cryptographic approach to preserve electrocardiograph (ECG) data confidentiality and integrity in the EHR environment. The main objective of the proposed anonymization algorithm is to obscure the patient’s cardiac information during transmission and to protect information stored in the cloud database. Although we focus on ECG data, generalization to other types of clinical data can be derived using the proposed method. Performance evaluation of the proposed scheme showed that the algorithm conceals both fiducial and non-fiducial features of the data. Therefore, confidentiality feature is preserved. This paper examined confidentiality of the anonymized data using the Percentage Residual Difference (PRD) and investigated the integrity of the reconstructed data in terms of cross-correlation. Security analysis carried out using the PRD, brute force attack, and performance comparison between the proposed algorithm and existing methods. Evaluation showed that the proposed scheme offers a secure non-cryptographic model for transmission and storing clinical data in the cloud. Moreover, in terms of processing time, the proposed algorithm is ten times faster than the existing wavelet packet method when processing long ECG data, 65,536 sample points. In a real-time experimental testbed, the implemented proposed system was successful.


Item ID:	71237
Item Type:	Article (Research - C1)
ISSN:	2169-3536
Keywords:	electrocardiography, electronic health record, fast Fourier transform, information security
Copyright Information:	This work is licensed under a Creative Commons Attribution 4.0 license.
Funders:	Li Ka Shing Foundation Cross- Disciplinary Research Grant
Date Deposited:	19 Jan 2022 22:24
FoR Codes:	40 ENGINEERING > 4003 Biomedical engineering > 400399 Biomedical engineering not elsewhere classified @ 40% 46 INFORMATION AND COMPUTING SCIENCES > 4604 Cybersecurity and privacy > 460403 Data security and protection @ 40% 40 ENGINEERING > 4006 Communications engineering > 400607 Signal processing @ 20%
SEO Codes:	22 INFORMATION AND COMMUNICATION SERVICES > 2201 Communication technologies, systems and services > 220104 Network security @ 50% 22 INFORMATION AND COMMUNICATION SERVICES > 2204 Information systems, technologies and services > 220404 Computer systems @ 50%
Downloads:	Total: 1079 Last 12 Months: 8
	More Statistics

Actions (Repository Staff Only)

Item Control Page