不同混沌图技术对医学图像安全性的影响

S. Ragani, T. Vijaya Murari, K. Ravishankar
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引用次数: 1

摘要

如今,互联网被用来更快地传递有价值的信息。这些信息可以是文本、图像和视频。随着计算机和生物医学创新的进步,医学JPEG图像包含了患者的个人数据,私人数据的安全性得到了令人难以置信的考虑。程序和通信技术的进步使图像在远程诊断、远程手术等领域发挥了重要作用。同时,这些进展的迹象提供了处理临床图像的新意图;它还扩展了对机密性、完整性和可用性的安全关注。本文概述了目前使用的各种方法,然后继续使用各种混沌映射技术开发一种新机制,以便通过使键空间足够大以承受蛮力攻击来为图像提供更多的完整性和安全性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Security of the Medical Images using Different Chaos map Techniques
Nowadays Internet is used for faster transmission of valuable information. This information may be text, image, and video anything. With the advancement of computer and biomedical innovations, medical JPEG images contain the patient’s individual data and the security of the private data pulls in incredible consideration. The progression of program and correspondence advancements has made images act significant parts in the domain of telediagnosis, tele-surgery, and so forth. Simultaneously, such signs of progress provide new intends to process clinical pictures; it additionally expands security concern as far as confidentiality, integrity and availability. This paper provides an overview of the various approaches currently in use and then goes on to develop a new mechanism for the same using various Chaos maps techniques in order to provide more integrityand security to the image by making the keyspace large enough towithstand brute force attacks.
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