NDLI: A secure data hiding technique with heterogeneous data-combining capability for electronic patient records

Content Provider	IEEE Xplore Digital Library
Author	Shaou-Gang Miaou Chin-Ming Hsu Yuh-Show Tsai Hui-Mei Chao
Copyright Year	2000
Description	Author affiliation: Dept. of Electr. Eng., Chung Yuan Christian Univ., Chung Li, Taiwan (Shaou-Gang Miaou)
Abstract	It is an enabling technology to transmit electronic patient records (EPR) across distances to hospitals and countries through the Internet. However, since EPR is a highly personal medical documentation, transmission of secure EPR is required to reduce the risk of security breach on the network and prevent accessing of data by unauthorized end-users. Here, the authors propose a bi-polar multiple-base data hiding technique, where a pixel value difference between an original image and its default JPEG (Joint Photographic Experts Group) lossy decompressed image is taken to be a number conversion base. The authors hide doctors' digital seals and the EPR data within a still image by using this approach. The still image could be the mark of a hospital to identify where the EPR comes from. The doctors' digital seals are essential to the authentication of EPR. A diagnostic report and a biomedical signal such as an electrocardiogram (ECG) can also be hidden in the image. The proposed approach allows multiple data types to be hidden in the same image. All the data can be separated and restored perfectly by the intended users. In addition, the proposed data hiding technique has higher peak signal to noise ratio than that of using default JPEG alone. Thus, the transparency of the hidden image and the invisibility of the EPR data are guaranteed.
Starting Page	280
Ending Page	283
File Size	464590
Page Count	4
File Format	PDF
ISBN	0780364651
ISSN	1094687X
DOI	10.1109/IEMBS.2000.900730
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-07-23
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data encapsulation Paramagnetic resonance Hospitals Seals Internet Biomedical imaging Medical diagnostic imaging Documentation Data security Pixel
Content Type	Text
Resource Type	Article

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