Robust Steganography Technique for Enhancing the Protection of Medical Records in Healthcare Informatics.

IF 6.8 2区 医学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS IEEE Journal of Biomedical and Health Informatics Pub Date : 2025-03-24 DOI:10.1109/JBHI.2025.3554032
Hammad Riaz, Rizwan Ali Naqvi, Manzoor Ellahi, M Arslan Usman, M Rehan Usman, Daesik Jeong, Seung Won Lee
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Abstract

The secrecy and security of patients' details are among the biggest concerns in Healthcare Information Systems. The Electronic Patient Records (EPR) data, along with doctors' comments can be embedded inside carrier DICOM Images using the proposed scheme. The confidential information is scattered into different sets, and rather than embedding it in a single DICOM image, it is embedded into multiple carriers for enhanced security. These scans can be used together to hide the confidential patient data using the proposed technique. The prototype steganography scheme is tested utilizing LSB Substitution and dummy secret data is embedded inside DICOM Images. The achieved results are imperceptible to the human visual system (HVS). Performance matrices i.e., PSNR, MSE, RMSE, SSIM, NR-IQA parameters (BRISQUE, NIQE, PIQE), as well as entropy, are calculated for cover and stego images. The proposed scheme has been found to be resilient and computationally secure.

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增强医疗信息学中病历保护的鲁棒隐写技术。
患者详细信息的保密性和安全性是医疗信息系统中最令人担忧的问题之一。利用所提出的方案,电子病历(EPR)数据以及医生的评论可以嵌入到载体DICOM图像中。机密信息分散到不同的集合中,而不是嵌入到单个DICOM映像中,而是嵌入到多个载体中以增强安全性。这些扫描可以一起使用,使用所提出的技术来隐藏机密的患者数据。利用LSB替代对原型隐写方案进行了测试,并在DICOM图像中嵌入了虚拟秘密数据。所获得的结果是人类视觉系统(HVS)无法察觉的。性能矩阵,即PSNR, MSE, RMSE, SSIM, NR-IQA参数(BRISQUE, NIQE, PIQE)以及熵,用于计算覆盖和隐去图像。该方案已被证明具有弹性和计算安全性。
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来源期刊
IEEE Journal of Biomedical and Health Informatics
IEEE Journal of Biomedical and Health Informatics COMPUTER SCIENCE, INFORMATION SYSTEMS-COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
CiteScore
13.60
自引率
6.50%
发文量
1151
期刊介绍: IEEE Journal of Biomedical and Health Informatics publishes original papers presenting recent advances where information and communication technologies intersect with health, healthcare, life sciences, and biomedicine. Topics include acquisition, transmission, storage, retrieval, management, and analysis of biomedical and health information. The journal covers applications of information technologies in healthcare, patient monitoring, preventive care, early disease diagnosis, therapy discovery, and personalized treatment protocols. It explores electronic medical and health records, clinical information systems, decision support systems, medical and biological imaging informatics, wearable systems, body area/sensor networks, and more. Integration-related topics like interoperability, evidence-based medicine, and secure patient data are also addressed.
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