期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2015
卷号：4
期号：1
页码：11-17
出版社：Shri Pannalal Research Institute of Technolgy
摘要：Reversible watermark has drawn lots of interest recently. Different from other types of digital watermarks, a reversible watermark has a special feature that the original content can be completely restored. These files as any digital asset should be protected from unwanted modification of their contents, especially as they contain vital medical information. Thus their protection and authentication seems of great importance and this need will rise along with the future standardization of exchange of data between hospitals or between patients and doctors. In specific, the focus is on Electroencephalogram (EEG) Signal and how to embed numerical metadata within the data. This project describes a high capacity and high quality reversible watermarking method based on difference expansion and pixel selection. The privacy of the embedded data is assured because the private metadata will not directly embed on the data, but instead embed a surrogate random sequence, that is generated by a cryptographically safe pseudorandom number generator (PRNG) using the metadata as the input and a secret key as the seed. Hence, avoid leaking or revealing any information about the patient’s sensitive information to the public. Even though the privacy of sensitive data attributes can be addressed through encryption, such an approach is inherently a blocking factor in data dissemination. This technique is then adapted here for interleaving patient information and message authentication code with medical data in a reversible manner, that is using lossless compression. The resulting scheme enables on a side the exact recovery of the original data that can be unambiguously authenticated, and on the other side, the patient information to be saved or transmitted in a confidential way. The redundancy in the digital content is used to achieve reversibility.
