一种保证低质量通信环境下患者数据认证的新水印方法

Subrata Kumar Das, Mohammad Zahidur Rahman
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引用次数: 1

摘要

在过去十年中,由于信息技术的进步,随着数据量的增加,医疗保健数据管理得到了改进。当病人的数字数据通过一个坏的网络从远程访问时,数据可能会被改变。通过网络传输数据的任何修改都可能产生数据完整性和身份验证等安全问题。这些安全问题的解决方案非常重要,因为它们可能导致敏感数据丢失,从而妨碍医疗诊断。水印技术作为一种有效的数据安全手段,以其较低的计算成本吸引了研究者的注意。在医疗保健系统中,不同的水印技术被应用于保护医疗数据,特别是图像。文本数据水印是一项确保文本患者数据真实性和完整性的任务。由于缺乏适当的技术,它变得很困难。本文提出了一种新的实时文本患者数据水印方法,以保证文本数据的真实性和完整性。鲁棒和脆弱水印用于检测可靠的源信息和任何数据变化。实验结果表明,本文提出的算法能够正确地识别源信息,并提供预期的准确率来抵御可能的攻击。所提出的技术可以帮助从地理上可信的遥远来源向接收者提供真实的数据,而无需任何数据操作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A New Watermarking Approach for Ensuring Patient Data Authentication over a Low-quality Communication Environment
Healthcare data management has improved in the last decade with increasing data volume due to the advancement of information technologies. While the digital patient data are accessed through a bad network from a remote place, data could be altered. Any modification of transferring data over the networks may create security issues like data integrity and authentication. The solution to these security problems is significant because they may cause sensitive data loss can hamper medical diagnoses. Watermarking is an effective method to provide such data security, which has attracted the researcher’s attention with a cheaper computational cost. Different watermarking techniques had applied to secure medical data, especially for images, in the healthcare system. Watermarking text data is a task that ensures authenticity and integrity on text patient data. It has become difficult for the lack of proper techniques. This paper proposes a new watermarking approach for real-time text patient data to provide their authentication and integrity. Both robust and fragile watermarks are used to detect reliable source information and any data alternation. Experiment results show that our proposed algorithm can identify the source information correctly and provide expected accuracy against possible attacks. The proposed technique could help to serve authentic data to the recipient from the geographically trustworthy distant source without any data manipulation.
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