首页> 美国卫生研究院文献>Journal of Digital Imaging >Providing Integrity Authenticity and Confidentiality for Header and Pixel Data of DICOM Images
【2h】

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

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

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:在公共网络上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头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)应用强大的密码基元来实现的。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。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号