A Blind and High-Capacity Data Hiding Scheme for Medical Information Security

IF 1.8 3区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Circuits, Systems and Signal Processing Pub Date : 2024-05-28 DOI:10.1007/s00034-024-02684-4
Moad Med Sayah, Zermi Narima, Khaldi Amine, Kafi Med Redouane
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Abstract

How to guarantee the confidentiality of sensitive data communicated over the Internet and restrict access to designated information is today’s key security and protection concern in telemedicine. In this work, we suggest a reliable and blind medical image watermarking method that combines integer wavelet transform (IWT) and singular value decomposition to keep such information private. A major drawback of current IWT-based watermarking systems is their low embedding capacity. This paper suggests an IWT-based secure large capacity watermarking solution to overcome this specific drawback. The proposed technique effectively preserves a considerable quality of watermarked images, and the watermark is resistant to the most frequently used attacks in watermarking, according to experiment results on imperceptibility and robustness.

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一种用于医疗信息安全的高容量盲数据隐藏方案
如何保证通过互联网传输的敏感数据的机密性,并限制对指定信息的访问,是当今远程医疗领域安全保护的关键问题。在这项工作中,我们提出了一种可靠的盲医学图像水印方法,该方法结合了整数小波变换(IWT)和奇异值分解,以确保此类信息的保密性。目前基于 IWT 的水印系统的一个主要缺点是嵌入能力低。本文提出了一种基于 IWT 的安全大容量水印解决方案,以克服这一具体缺点。根据不可感知性和鲁棒性的实验结果,所提出的技术有效地保持了水印图像的相当高的质量,而且水印能够抵御水印技术中最常用的攻击。
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来源期刊
Circuits, Systems and Signal Processing
Circuits, Systems and Signal Processing 工程技术-工程:电子与电气
CiteScore
4.80
自引率
13.00%
发文量
321
审稿时长
4.6 months
期刊介绍: Rapid developments in the analog and digital processing of signals for communication, control, and computer systems have made the theory of electrical circuits and signal processing a burgeoning area of research and design. The aim of Circuits, Systems, and Signal Processing (CSSP) is to help meet the needs of outlets for significant research papers and state-of-the-art review articles in the area. The scope of the journal is broad, ranging from mathematical foundations to practical engineering design. It encompasses, but is not limited to, such topics as linear and nonlinear networks, distributed circuits and systems, multi-dimensional signals and systems, analog filters and signal processing, digital filters and signal processing, statistical signal processing, multimedia, computer aided design, graph theory, neural systems, communication circuits and systems, and VLSI signal processing. The Editorial Board is international, and papers are welcome from throughout the world. The journal is devoted primarily to research papers, but survey, expository, and tutorial papers are also published. Circuits, Systems, and Signal Processing (CSSP) is published twelve times annually.
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