基于模糊层次分析法的医学图像安全数字水印技术选择

Masood Ahmad, M. Nadeem, Monamy Islam, Saquib Ali, A. Agrawal, Raees Ahmad Khan
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引用次数: 0

摘要

水印技术是一种医学图像和患者信息的安全算法。水印用于保持医学图像的鲁棒性、完整性、机密性、身份验证和复杂性。医学图像水印技术的选择是多准则决策,是一种兼顾安全性和保密性的自动算法选择方法。然而,通过传统的选择技术很难选择出更好的水印技术。为了解决这一问题,提出了一种基于多准则的模糊层次分析法。将该方法应用于医疗图像安全的算法选择。在该方法中,我们首先确定了准则和备选项列表,它们直接影响到医学图像安全算法的决策。然后,将该方法应用于准则和备选方案。我们根据算法得到的权重给出秩。此外,本文还给出了各算法的总体结果和排名。与其他标准相比,完整性的权重最高(0.509)。其他标准(即认证)的权重为0.165,鲁棒性为0.151,机密性为0.135,复杂性为0.038。因此,就排名而言,在五个标准属性中,完整性被报告为最高优先级。
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Selection of Digital Watermarking Techniques for Medical Image Security by using the Fuzzy Analytical Hierarchy Process
The watermarking technique is a security algorithm for medical images and the patient's information. Watermarking is used for maintaining the robustness, integrity, confidentiality, authentication, and complexity of medical images. The selection of medical image watermarking technique is multi-criteria decision-making and an automatic way of algorithm selection for security and privacy. However, it is difficult to select a better watermarking technique through traditional selection techniques. To deal with this problem, a multicriteria-based fuzzy analytic hierarchy process (FAHP) was proposed. This method is applied for algorithm selection for the security of medical images in healthcare. In this method, we first determined the list of criteria and alternatives, which directly affect the decision of the medical image security algorithm. Then, the proposed method was applied to the criteria and alternatives. We provided the rank according to the obtained weights of the algorithm. Furthermore, the overall results and ranking of the algorithms were also presented in this article. Integrity was found to have the highest weight (0.509) compared to the other criteria. The weight of the other criteria, namely authentication, was 0.165, robustness was 0.151, confidentiality was 0.135, and complexity was 0.038. Thus, in terms of ranking, integrity was reported to be of the highest priority among the five criteria attributes.
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来源期刊
Recent Advances in Computer Science and Communications
Recent Advances in Computer Science and Communications Computer Science-Computer Science (all)
CiteScore
2.50
自引率
0.00%
发文量
142
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