Chaotic Reversible Watermarking Method Based on IWT with Tamper Detection for Transferring Electronic Health Record

Health IoT deals with sensitive medical information of patients, therefore security concerns need to be addressed. Confidentiality of Electronic Health Record (EHR) and privacy are two important security requirements for IoT based healthcare systems. Recently, watermarking algorithms as an efficient...

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Main Authors: Mahboubeh Nazari, Arash Maneshi
Format: Article
Language:English
Published: Hindawi-Wiley 2021-01-01
Series:Security and Communication Networks
Online Access:http://dx.doi.org/10.1155/2021/5514944
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spelling doaj-d81d82e3c89143e3917752f0bb361df82021-05-31T00:33:13ZengHindawi-WileySecurity and Communication Networks1939-01222021-01-01202110.1155/2021/5514944Chaotic Reversible Watermarking Method Based on IWT with Tamper Detection for Transferring Electronic Health RecordMahboubeh Nazari0Arash Maneshi1Department of Computer EngineeringDepartment of Computer EngineeringHealth IoT deals with sensitive medical information of patients, therefore security concerns need to be addressed. Confidentiality of Electronic Health Record (EHR) and privacy are two important security requirements for IoT based healthcare systems. Recently, watermarking algorithms as an efficient response to these requirements is in the spotlight. Further, as smart city-based applications have to react to real-time situations, efficient computation is a demand for them. In this paper, a secure, lightweight, reversible, and high capacity watermarking algorithm with tamper detection capability is proposed for IoT based healthcare systems. The scheme has applied Integer Wavelet Transform (IWT) and chaotic map for efficiency and increasing security. EHR is encrypted and then embedded into the Least Significant Bits (LSB) of wavelet coefficients of medical images. The proposed method has been extensively tested for various color and grayscale commonly used medical and general images. Investigations on experimental results and criterions such as Peak Signal to Noise Ratio (PSNR) and Bit Error Ratio (BER) above 45.41 dB and 0.04, respectively, for payload of 432,538 bits indicate that the proposed method, besides providing security, being reversible, tamper detection capability, and high embedding capacity, has high imperceptibility and adequate resistance against different types of attacks.http://dx.doi.org/10.1155/2021/5514944
collection DOAJ
language English
format Article
sources DOAJ
author Mahboubeh Nazari
Arash Maneshi
spellingShingle Mahboubeh Nazari
Arash Maneshi
Chaotic Reversible Watermarking Method Based on IWT with Tamper Detection for Transferring Electronic Health Record
Security and Communication Networks
author_facet Mahboubeh Nazari
Arash Maneshi
author_sort Mahboubeh Nazari
title Chaotic Reversible Watermarking Method Based on IWT with Tamper Detection for Transferring Electronic Health Record
title_short Chaotic Reversible Watermarking Method Based on IWT with Tamper Detection for Transferring Electronic Health Record
title_full Chaotic Reversible Watermarking Method Based on IWT with Tamper Detection for Transferring Electronic Health Record
title_fullStr Chaotic Reversible Watermarking Method Based on IWT with Tamper Detection for Transferring Electronic Health Record
title_full_unstemmed Chaotic Reversible Watermarking Method Based on IWT with Tamper Detection for Transferring Electronic Health Record
title_sort chaotic reversible watermarking method based on iwt with tamper detection for transferring electronic health record
publisher Hindawi-Wiley
series Security and Communication Networks
issn 1939-0122
publishDate 2021-01-01
description Health IoT deals with sensitive medical information of patients, therefore security concerns need to be addressed. Confidentiality of Electronic Health Record (EHR) and privacy are two important security requirements for IoT based healthcare systems. Recently, watermarking algorithms as an efficient response to these requirements is in the spotlight. Further, as smart city-based applications have to react to real-time situations, efficient computation is a demand for them. In this paper, a secure, lightweight, reversible, and high capacity watermarking algorithm with tamper detection capability is proposed for IoT based healthcare systems. The scheme has applied Integer Wavelet Transform (IWT) and chaotic map for efficiency and increasing security. EHR is encrypted and then embedded into the Least Significant Bits (LSB) of wavelet coefficients of medical images. The proposed method has been extensively tested for various color and grayscale commonly used medical and general images. Investigations on experimental results and criterions such as Peak Signal to Noise Ratio (PSNR) and Bit Error Ratio (BER) above 45.41 dB and 0.04, respectively, for payload of 432,538 bits indicate that the proposed method, besides providing security, being reversible, tamper detection capability, and high embedding capacity, has high imperceptibility and adequate resistance against different types of attacks.
url http://dx.doi.org/10.1155/2021/5514944
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