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Please use this identifier to cite or link to this item: https://scholars.lib.ntu.edu.tw/handle/123456789/429784
Title: Privacy Preserving of Online Digital Physiological Signals using Reversible Steganography
Authors: Hung-Jr Shiu
Bor-Shing Lin
Chin-Laung Lei
CHIN-LAUNG LEI 
Keywords: Hamming code; Physiological signal; Privacy preserving; Steganography
Issue Date: 2017
Journal Volume: 151
Start page/Pages: 43701
Source: Computer Methods and Programs in Biomedicine
Abstract: 
Background and objective Physiological signals such as electrocardiograms (ECG) and electromyograms (EMG) are widely used to diagnose diseases. Presently, the Internet offers numerous cloud storage services which enable digital physiological signals to be uploaded for convenient access and use. Numerous online databases of medical signals have been built. The data in them must be processed in a manner that preserves patients’ confidentiality. Methods A reversible error-correcting-coding strategy will be adopted to transform digital physiological signals into a new bit-stream that uses a matrix in which is embedded the Hamming code to pass secret messages or private information. The shared keys are the matrix and the version of the Hamming code. Results An online open database, the MIT-BIH arrhythmia database, was used to test the proposed algorithms. The time-complexity, capacity and robustness are evaluated. Comparisons of several evaluations subject to related work are also proposed. Conclusions This work proposes a reversible, low-payload steganographic scheme for preserving the privacy of physiological signals. An (n, m)-hamming code is used to insert (n ? m) secret bits into n bits of a cover signal. The number of embedded bits per modification is higher than in comparable methods, and the computational power is efficient and the scheme is secure. Unlike other Hamming-code based schemes, the proposed scheme is both reversible and blind. ? 2017 Elsevier B.V.
URI: https://scholars.lib.ntu.edu.tw/handle/123456789/429784
DOI: 10.1016/j.cmpb.2017.08.015
Appears in Collections:電機工程學系

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