Publication: A header encryption of ultrasound image using absolute-value chaotic map
Issued Date
2015-01-01
Resource Type
Other identifier(s)
2-s2.0-84923039626
Rights
Mahidol University
Rights Holder(s)
SCOPUS
Bibliographic Citation
BMEiCON 2014 - 7th Biomedical Engineering International Conference. (2015)
Suggested Citation
S. Fong-In, S. Kiattisin, A. Leelasantitham, W. San-Um A header encryption of ultrasound image using absolute-value chaotic map. BMEiCON 2014 - 7th Biomedical Engineering International Conference. (2015). doi:10.1109/BMEiCON.2014.7017414 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/35958
Research Projects
Organizational Units
Authors
Journal Issue
Thesis
Title
A header encryption of ultrasound image using absolute-value chaotic map
Author(s)
Other Contributor(s)
Abstract
© 2014 IEEE. this paper presents a partial encryption scheme using absolute-value chaotic map for secure electronic health records (EHR). The HER system has been an emerging technology that allows medical personals to create, manage, and control medical data electronically through specific database or even web browsers. The proposed encryption scheme realizes XOR operations between separated planes of binary gray-scale image and a binaty image generated by an absolute-value chaotic map. The proposed is relatively simple containning a single absolute-value function with two constants and offers complex and robust dynamical behaviors in terms of random output values. Experiments have been performed in MATLAB using a magnetic resonance image which is divided into 64 sub-blocks and 13th iterations were proceeded for encryption. Encryption qualitative performances are evaluated through pixel density histograms, 2-dimensional power spectral density, and vertical, horizontal, and diagonal correlation plots. For the encryption quantitative measures, correlation coefficients, entropy, NPCR and UACI are realized. Demonstrations of wrong-key decrypted image are also included. The proposed encryption scheme offers a potential alternative to a secure medical data records and web browsing through cloud computing systems.