Abstract
In recent years, encryption of medical images has been given much importance and several cryptographic algorithms and principles have been made and designed for secure communication. One such approach has been proposed in this work using pixel scrambling and diffusion techniques governed through linear feedback shift register (LFSR) and modified logistic map (MLM). The main advantage of this work is its concurrent encryption through which the scrambling and diffusion have been performed on the fly without any additional delays. The proposed design has been implemented on Intel Cyclone IV E FPGA using Quartus II Electronic Design Automation (EDA) tool. Further, the functional verification of LFSR and MLM has been carried out through ModelSim simulation. The design occupies 3580 logic elements and 135 logic registers to encrypt 256 × 256 × 16 bits of DICOM image at 216 mS when it was operated with 50 MHz frequency. Also, this work achieves near-zero correlation, and the statistical properties of the encryption have been tested through standard metrics.
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References
E.A. Krupinski, Medical Imaging, in Handbook of Visual Display Technology ed. by J. Chen, W. Cranton, M. Fihn (Springer International Publishing, Cham, 2016), pp. 545–558. https://doi.org/10.1007/978-3-319-14346-0_186
G. Ke, H. Wang, S. Zhou, H. Zhang, Encryption of medical image with most significant bit and high capacity in piecewise linear chaos graphics. Measurement 135, 385–391 (2019). https://doi.org/10.1016/j.measurement.2018.11.074
A. Das, A.K. Das, N. Kar.: An Improved Chaos based medical image encryption using DNA encoding techniques, in Advance Computer Intelligent Security Internet Things ed. by A. Saha, N. Kar, S. Deb (Springer Singapore, Singapore 2020), pp. 207–220
K. Prabhavathi, C.P. Sathisha, K.M. Ravikumar, Region of interest based selective medical image encryption using multi Chaotic system, in 2017 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT), pp. 1–5. https://doi.org/10.1109/iceeccot.2017.8284614
Z. Hua, S. Yi, Y. Zhou.: Medical image encryption using high-speed scrambling and pixel adaptive diffusion. Signal Process. 144, 134–144 (2018). https://doi.org/10.1016/j.sigpro.2017.10.004
X. Chen, C.-J. Hu, Adaptive medical image encryption algorithm based on multiple chaotic mapping. Saudi J. Biol. Sci. 24, 1821–1827 (2017). https://doi.org/10.1016/j.sjbs.2017.11.023
A.J. Elbirt, W. Yip, B. Chetwynd, C. Paar, An FPGA-based performance evaluation of the AES block cipher candidate algorithm finalists. IEEE Trans. Very Large Scale Integr. Syst. 9, 545–557 (2001). https://doi.org/10.1109/92.931230
D. Ravichandran, S. Rajagopalan, H.N. Upadhyay, J.B.B. Rayappan, R. Amirtharajan, Encrypted biography of biomedical image—a Pentalayer cryptosystem on FPGA. J. Signal Process. Syst. 91, 475–501 (2019). https://doi.org/10.1007/s11265-018-1337-z
C. Han, OptikAn image encryption algorithm based on modified logistic chaotic map. Opt. Int. J. Light Electron Opt. 181, 779–785 (2019). https://doi.org/10.1016/j.ijleo.2018.12.178
S. Arumugham, S. Rajagopalan, J.B.B. Rayappan, R. Amirtharajan, Networked medical data sharing on secure medium—a web publishing mode for DICOM viewer with three layer authentication. J. Biomed. Inform. 86, 90–105 (2018). https://doi.org/10.1016/j.jbi.2018.08.010
S. Rajagopalan, R. Sivaraman, H.N. Upadhyay, J.B.B. Rayappan, R. Amirtharajan, ONChip peripherals are ON for chaos—an image fused encryption, Microprocess. Microsyst. 61, 257–278 (2018). https://doi.org/10.1016/j.micpro.2018.06.011
Acknowledgements
The authors thank the Department of Science and Technology, New Delhi for the FIST funding (SR/FST/ET-II/2018/221). Also, the Authors wish to thank the Intrusion Detection Lab at School of Electrical and Electronics Engineering, SASTRA Deemed University for providing infrastructural support to carry out this research work.
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Adithya, N., Nalajala, H.K., Sivaraman, R., Sridevi, A., Rengarajan, A., Rajagopalan, S. (2021). Chaos Blend LFSR—Duo Approach on FPGA for Medical Image Security. In: Tavares, J.M.R.S., Chakrabarti, S., Bhattacharya, A., Ghatak, S. (eds) Emerging Technologies in Data Mining and Information Security. Lecture Notes in Networks and Systems, vol 164. Springer, Singapore. https://doi.org/10.1007/978-981-15-9774-9_15
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