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A novel tree based method for data hiding and integrity in medical images

机译：一种基于树的数据隐藏和诚信在医学图像中的基于树

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摘要

Telemedicine focuses on employing communication technologies for remotely located health centers and patients based on telemedicine services. Several services which may include transmission of private patients health data through text, images and other forms of data for diagnosis of treatment, prevention or analysis with respect to the services. Telemedicine services contribute a lot to the society by helping in health improvement and those applications are constructively valuable. Nevertheless, the utilization of telemedicine solutions should be kept aware including processing patient's data and transfer through Public network. It is important to view this issue from the perception of data security. Medical images which are stored in cloud-based health information systems seek attention. Privacy and security of such images should be guaranteed through several cryptographic techniques and steganography processes. In this paper, we propose a novel technique for image authentication, integrity and medical data hiding in those images using Tree Based Steganography [TBS] technique. The medical data and the checksum of the Region Of Interest [ROI] are embedded in the Region of Non-Interest [RONI] region of the image using TBS technique which is comparatively simple for computation and effective by nature.
机译：远程医疗专注于基于远程医疗服务的远程良好的卫生中心和患者的通信技术。可以包括通过文本，图像和其他形式的数据传播私人患者健康数据的服务，以诊断服务的治疗，预防或分析。通过帮助健康改善，远程医疗服务对社会提供了很大的贡献，这些应用程序是建设性的宝贵。尽管如此，远程医疗解决方案的利用应留意，包括处理患者的数据和通过公共网络转移。从数据安全性的看法中查看此问题非常重要。存储在基于云的健康信息系统中的医学图像寻求关注。通过多种加密技术和隐写过程，应保证此类图像的隐私和安全性。在本文中，我们提出了一种新颖的应用基于树的隐写技术在这些图像中隐藏的图像认证，完整性和医疗数据的技术。利益区域[ROI]的医疗数据和校验和使用TBS技术嵌入图像的非兴趣区区域，该技术对于计算和有效的性质进行比较简单。

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