Enhancing Security of Electronic Patient Record Using Watermarking Technique

Vidya, M. J.; Padmaja, K.

doi:10.1016/j.matpr.2017.12.341

Cited by 4 publications

(2 citation statements)

References 6 publications

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“…Step 3 : The feature vector V(j) and the encrypted watermark BW k (i, j) are performed XOR operation to generate the logical key Key k (i, j), which is saved in the third party to realize the embedding of multiple watermarks, as shown in Eq. (3).…”

Section: Watermark Embeddingmentioning

confidence: 99%

Robust Multi-Watermarking Algorithm for Medical Images Based on GoogLeNet and Henon Map

Zhang¹,

Li²,

Bhatti³

et al. 2023

Computers, Materials &Amp; Continua

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The field of medical images has been rapidly evolving since the advent of the digital medical information era. However, medical data is susceptible to leaks and hacks during transmission. This paper proposed a robust multi-watermarking algorithm for medical images based on GoogLeNet transfer learning to protect the privacy of patient data during transmission and storage, as well as to increase the resistance to geometric attacks and the capacity of embedded watermarks of watermarking algorithms. First, a pre-trained GoogLeNet network is used in this paper, based on which the parameters of several previous layers of the network are fixed and the network is fine-tuned for the constructed medical dataset, so that the pre-trained network can further learn the deep convolutional features in the medical dataset, and then the trained network is used to extract the stable feature vectors of medical images. Then, a two-dimensional Henon chaos encryption technique, which is more sensitive to initial values, is used to encrypt multiple different types of watermarked private information. Finally, the feature vector of the image is logically operated with the encrypted multiple watermark information, and the obtained key is stored in a third party, thus achieving zero watermark embedding and blind extraction. The experimental results confirm the robustness of the algorithm from the perspective of multiple types of watermarks, while also demonstrating the successful embedding of multiple watermarks for medical images, and show that the algorithm is more resistant to geometric attacks than some conventional watermarking algorithms.

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Section: Watermark Embeddingmentioning

confidence: 99%

Robust Multi-Watermarking Algorithm for Medical Images Based on GoogLeNet and Henon Map

Zhang¹,

Li²,

Bhatti³

et al. 2023

Computers, Materials &Amp; Continua

View full text Add to dashboard Cite

show abstract

“…In the Haar wavelet, the copyright information in video bit streams is attached by engaging the dyadic equation. Besides, electronic patient security using a watermarking algorithm has been elucidated by Vidya and Padmaja [22]. In hospitals, the security of 'electronic patient record' (EPR) data gains prime importance for the safety of hospital records and wireless transmission of medical information.…”

Section: Related Workmentioning

confidence: 99%

A Blind Medical Image Watermarking for Secure E-Healthcare Application Using Crypto-Watermarking System

Aparna

Kishore

2019

Journal of Intelligent Systems

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Abstract A reliable medical image management must provide proper security for patient information. Protecting the medical information of the patients is a major concern in all hospitals. Digital watermarking is a procedure prevalently used to secure the confidentiality of medical information and maintain them, which upgrades patient health awareness. To protect the medical information, the robust and lossless patient medical information sharing system using crypto-watermarking method is proposed. The proposed system consists of two phases: (i) embedding and (ii) extraction. In this paper, we securely share three types of patient information, medical image, electronic health record (EHR), and face image from one hospital to another hospital. Initially, all the three inputs are encrypted and the information is concordant. In order to enhance the robustness of the crypto-watermarking system, the obtained bit stream is compressed, and the compressed bit streams are embedded into the cover image. The same process is repeated for the extraction process. The experimentation result is carried out using different medical images with EHR, and the effectiveness of the proposed algorithm is analyzed with the help of peak signal to noise ratio.

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A Novel Authentication Approach Towards Secured Storage of Electronic Patient Record Using 3D Dynamic Order Template

Vidya¹,

Padmaja²,

Joshi

et al. 2020

Sustainable and Energy Efficient Computing Paradigms for Society

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Enhancing Security of Electronic Patient Record Using Watermarking Technique

Cited by 4 publications

References 6 publications

Robust Multi-Watermarking Algorithm for Medical Images Based on GoogLeNet and Henon Map

Robust Multi-Watermarking Algorithm for Medical Images Based on GoogLeNet and Henon Map

A Blind Medical Image Watermarking for Secure E-Healthcare Application Using Crypto-Watermarking System

A Novel Authentication Approach Towards Secured Storage of Electronic Patient Record Using 3D Dynamic Order Template

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