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Elkaf Rahmawan Pramudya
Universitas Dian Nuswantoro
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Journal : Scientific Journal of Informatics

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Enhancing Medical Image Security Using Hyperchaotic Lorenz and Josephus Traversing Encryption Rachmawanto, Eko Hari; Pramudya, Elkaf Rahmawan; Pratama, Zudha
Scientific Journal of Informatics Vol. 11 No. 4: November 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v11i4.9815

Abstract

Purpose: The present work focuses on developing a methodology to encrypt medical images using combined Hyperchaotic Lorenz systems with Josephus Traversing. This, therefore, forms the basis of the present paper to establish the efficacy of the proposed method against glioma, meningioma, and pituitary kinds of brain tumor images at 256 × 256 and 512 × 512 pixels image sizes. Methods: In this regard, a state-of-the-art encryption technique based on the Hyperchaotic Lorenz systems for Josephus Traversing has been proposed against the medical images of glioma, meningioma, and pituitary tumor datasets obtained from the repository via medical imaging. Result: The different distortion of test outcomes has the MSE value lying between 69.01 and 172.1, while fidelity preservation-PSNR lies between 12.971 and 18.321 dB for different tumor types and sizes of images. The UACI is between 3.625 and 11.34, while the NPCR is always greater than 99% to show very high tamper resistance. This approach is very new in integrating chaos and traversal algorithms for encrypting medical images. Hence, it has a great promising enhancement of security and protection of patient privacy. Novelty: This research contributes a comprehensive investigation based on different metrics that allows exploring not only the efficiency but also strength against decryption techniques for a proposed encryption method. More investigations could be done for further research work in order to enhance the encryption speed, which would improve robustness against advanced decryption techniques in medical image security for digital health applications.
Co-Authors ., Muslih Abdussalam Abdussalam Abdussalam Abdussalam Abdussalam Abdussalam, Abdussalam Abi Senoprabowo Ajib Susanto Akhmad Rizaldy ALI MUQODDAS Ali Muqoddas Annahdli, Zacky Fahd Ari Yahya A Arief Soeleman Arry Maulana Syarif Briliantino Abhista Prabandanu Budi Harjo Cahaya Jatmoko Christy Atika Sari De Rosal Ignatius Moses Setiadi Doheir, Mohamed Dwi Puji Prabowo, Dwi Puji Edi Faisal Edi Sugiarto Eko Hari Rachmawanto Erna Zuni Astuti Erwin Yudi Hidayat Farrel Athaillah Putra Fikri Budiman Gilang Raharjito Guruh Fajar Shidik Henry Bastian, Henry Ibnu Utomo Wahyu Mulyono Khafiidz Hastuti Khafiizh Hastuti L. Budi Handoko Luqman Abdul Malik Mega Bintang Hatmi Moch Arief Soeleman Muslih - Muslih - Muslih Muslih Muslih Muslih Muslih Muslih Noor Hasyim Noor Hasyim Nugraha, Arifinza Eska Nugraini, Siti Hadiati Oki Setiono Pratama, Zudha Pulung Nurtantio Andono Ramadhan Rakhmat Sani Rico Rian Alvian S Nurhendratno Sarker, Md. Kamruzzaman Sarwadi Sarwadi Sinaga, Daurat Soeleman, Arief Soeleman, M. Arief Supriyono Asfawi Viky Luffiandi Rismawan Widyatmoko Karis Wildanil Ghozi