首页> 外文期刊>Journal of digital imaging: the official journal of the Society for Computer Applications in Radiology >Providing Integrity, Authenticity, and Confidentiality for Header and Pixel Data of DICOM Images
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Providing Integrity, Authenticity, and Confidentiality for Header and Pixel Data of DICOM Images

机译:为DICOM图像的标题和像素数据提供完整性,真实性和机密性

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摘要

Exchange of medical images over public networks is subjected to different types of security threats. This has triggered persisting demands for secured telemedicine implementations that will provide confidentiality, authenticity, and integrity for the transmitted images. The medical image exchange standard (DICOM) offers mechanisms to provide confidentiality for the header data of the image but not for the pixel data. On the other hand, it offers mechanisms to achieve authenticity and integrity for the pixel data but not for the header data. In this paper, we propose a crypto-based algorithm that provides confidentially, authenticity, and integrity for the pixel data, as well as for the header data. This is achieved by applying strong cryptographic primitives utilizing internally generated security data, such as encryption keys, hashing codes, and digital signatures. The security data are generated internally from the header and the pixel data, thus a strong bond is established between the DICOM data and the corresponding security data. The proposed algorithm has been evaluated extensively using DICOM images of different modalities. Simulation experiments show that confidentiality, authenticity, and integrity have been achieved as reflected by the results we obtained for normalized correlation, entropy, PSNR, histogram analysis, and robustness.
机译:通过公共网络交换医学图像会受到不同类型的安全威胁。这触发了对安全远程医疗实施的持续需求,该实施将为传输的图像提供机密性,真实性和完整性。医学图像交换标准(DICOM)提供了为图像的标头数据提供机密性而不为像素数据提供机密性的机制。另一方面,它提供了实现像素数据而不是标题数据的真实性和完整性的机制。在本文中,我们提出了一种基于加密的算法,该算法可为像素数据以及标头数据提供机密,真实性和完整性。这是通过利用内部生成的安全数据(例如加密密钥,哈希码和数字签名)应用强大的密码原语来实现的。安全数据是从标题和像素数据内部生成的,因此在DICOM数据和相应的安全数据之间建立了牢固的联系。所提出的算法已使用不同模态的DICOM图像进行了广泛评估。仿真实验表明,我们获得的归一化相关性,熵,PSNR,直方图分析和鲁棒性的结果反映了机密性,真实性和完整性。

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