Shaymaa Fahmee Alqazzaz

Work place: Faculty of Science, Al-Azhar University, Cairo, Egypt



Research Interests: Computational Science and Engineering


Shaima Fahmee Al-Qazzaz, graduated in 2017 from Mosul University, Faculty of Computer Science and Mathematics, she is currently a master student at Department of Mathematics, Faculty of Science, Al-Azhar University, Cairo, Egypt.

Author Articles
Robust 4-D Hyperchaotic DNA Framework for Medical Image Encryption

By Shaymaa Fahmee Alqazzaz Gaber A. Elsharawy Heba F. Eid

DOI:, Pub. Date: 8 Apr. 2022

With the integration of cloud computing approaches in the healthcare systems, medical images are now processed and stored remotely on third-party servers. For such digital medical image data, privacy, protection, and security must be maintained by using image encryption methods. The aim of this paper is to design and apply a robust medical encryption framework to enhance the protection of medical image transformation and the patient information confidentiality. The proposed Framework encrypt the digital medical images using DNA computation and hyperchaotic RKF-45 random sequence approach. For which, the DNA computation is enhanced by applying hyperchaoticRKF-45 random key to the different Framework phases. The simulation results on different medical images were measured with various security analyses to prove the proposed framework randomness and coherent. Simulation results showed the ability of the hyperchaotic DNA encryption framework to withstand multiple electronic attacks with high performance compared to its counterparts of encryption algorithms. Finally, simulation and comparative studies have shown that, the proposed cryptography framework reported UACI and NPCR values 33.327 and 99.603 respectively, which are near to the theoretical optimal value.

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