A Survey on Security on Medical Data and Images in Healthcare Systems

Sadhukhan, Swarnali; Sing, Mihir; Majumder, Koushik; Chatterjee, Santanu; Sarkar, Subhanjan

doi:10.1007/978-981-15-7234-0_44

Cited by 2 publications

(2 citation statements)

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“…The scheme reports an average encryption speed close to 1Mbps. The image quality metrics applied for evaluation of the scheme include normalized cross-correlation (NCC), peak signal to noise Ratio (PSNR), and structural similarity measure index (SSIM) [ 16 , 17 , 18 , 19 , 20 ]. In-depth analysis has been performed, which includes imperceptibility analysis, computational complexity analysis, and fragility analysis.…”

Section: Resultsmentioning

confidence: 99%

“…It is seen that the integrated application of encryption along with steganography can generate highly secure and good quality Stego images (SI) [ 18 ]. An encryption-based cryptosystem along with the information hiding system must fulfill the requirements of security, generation of a uniform histogram, optimal value of entropy, payload, robustness, and imperceptibility [ 19 , 20 ]. For the data hiding system, a high level of imperceptibility leads to a reduced probability of an attack by an adversary.…”

Section: Introductionmentioning

confidence: 99%

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Secure Patient Data Transfer Using Information Embedding and Hyperchaos

Aljuaid¹,

Parah²

2021

Sensors

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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.

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