Literature DB >> 33406623

Secure Patient Data Transfer Using Information Embedding and Hyperchaos.

Hanan Aljuaid1, Shabir A Parah2.   

Abstract

Health 4.0 is an extension of the Industry standard 4.0 which is aimed at the virtualization of health-care services. It employs core technologies and services for integrated management of electronic health records (EHRs), captured through various sensors. The EHR is processed and transmitted to distant experts for better diagnosis and improved healthcare delivery. However, for the successful implementation of Heath 4.0 many challenges do exist. One of the critical issues that needs attention is the security of EHRs in smart health systems. In this work, we have developed a new interpolation scheme capable of providing better quality cover media and supporting reversible EHR embedding. The scheme provides a double layer of security to the EHR by firstly using hyperchaos to encrypt the EHR. The encrypted EHR is reversibly embedded in the cover images produced by the proposed interpolation scheme. The proposed interpolation module has been found to provide better quality interpolated images. The proposed system provides an average peak signal to noise ratio (PSNR) of 52.38 dB for a high payload of 0.75 bits per pixel. In addition to embedding EHR, a fragile watermark (WM) is also encrypted using the hyperchaos embedded into the cover image for tamper detection and authentication of the received EHR. Experimental investigations reveal that our scheme provides improved performance for high contrast medical images (MI) when compared to various techniques for evaluation parameters like imperceptibility, reversibility, payload, and computational complexity. Given the attributes of the scheme, it can be used for enhancing the security of EHR in health 4.0.

Entities:  

Keywords:  cyber-physical systems; embedding; health 4.0; reversibility; reversible data hiding (RDH); security

Mesh:

Year:  2021        PMID: 33406623      PMCID: PMC7795495          DOI: 10.3390/s21010282

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  3 in total

1.  Hiding Electronic Patient Record (EPR) in medical images: A high capacity and computationally efficient technique for e-healthcare applications.

Authors:  Nazir A Loan; Shabir A Parah; Javaid A Sheikh; Jahangir A Akhoon; Ghulam M Bhat
Journal:  J Biomed Inform       Date:  2017-08-03       Impact factor: 6.317

2.  Hiding clinical information in medical images: A new high capacity and reversible data hiding technique.

Authors:  Shabir A Parah; Farhana Ahad; Javaid A Sheikh; G M Bhat
Journal:  J Biomed Inform       Date:  2017-01-12       Impact factor: 6.317

3.  Secure Health Data Sharing for Medical Cyber-Physical Systems for the Healthcare 4.0.

Authors:  Han Qiu; Meikang Qiu; Meiqin Liu; Gerard Memmi
Journal:  IEEE J Biomed Health Inform       Date:  2020-02-12       Impact factor: 5.772

  3 in total
  2 in total

1.  Multilayer Reversible Information Hiding with Prediction-Error Expansion and Dynamic Threshold Analysis.

Authors:  I-Hui Pan; Ping-Sheng Huang; Te-Jen Chang; Hsiang-Hsiung Chen
Journal:  Sensors (Basel)       Date:  2022-06-28       Impact factor: 3.847

2.  A secured compression technique based on encoding for sharing electronic patient data in slow-speed networks.

Authors:  Subrata Kumar Das; Mohammad Zahidur Rahman
Journal:  Heliyon       Date:  2022-09-29
  2 in total

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