Chaotic Medical Image Encryption Based on Arnold Transformation and Pseudorandomly Enhanced Logistic Map
Chaotic Medical Image Encryption Based on Arnold Transformation and Pseudorandomly Enhanced Logistic Map
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Date
2017
Authors
Dagadu, Caleb Joshua
Jianping, Li
O. Aboagye, Emelia
Xuedzi, Ge
Journal Title
Journal ISSN
Volume Title
Publisher
Journal of Multidisciplinary Engineering Science and Technology (JMEST)
Abstract
Transmission and storage of digital
medical images for telemedicine facilitates
healthcare delivery. However, this gives rise to
security concerns such as confidentiality integrity
and reliability. In this paper, an efficient chaotic
encryption scheme is proposed for gray scale
medical images using Arnold cat map and
pseudorandomly enhanced chaotic map. The
scheme achieves secure encryption by Arnold
transformation followed by pixel value
modification with chaotic key sequence. The
robustness of the scheme is measured by various
metrics such as histogram analysis, key
sensitivity and information entropy. Furthermore,
we compare the efficiency of the pseudorandomly
enhanced logistic map with the logistic map. The
initial experimental results show that the scheme
promises stronger resistance against diverse
forms of common attacks.
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Citation
Dagadu, J. C., Li, J., Aboagye, E. O., & Ge, X. (2017). Chaotic medical image encryption based on Arnold transformation and pseudorandomly enhanced logistic map. structure, 4, 8096-8103.