 ICACT20250205 Slide.01
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Hellow, lady and gentleman. I am Yan-Xuan Lin come from School of Medicine, Chung Shan Medical University, Taiwan.
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| ICACT20250205 Slide.02
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It is my pleasure to present “Medical Image Cryptography Using Chaotic Methods: an study,” in the ICACT 2025.
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| ICACT20250205 Slide.03
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The expansion of medical encryption systems, and chaotic medical image cryptography (CRY) become an important research area in advanced encryption strategies.
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| ICACT20250205 Slide.04
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This study focuses on several basic frameworks for chaos-based medical image encryption.
The major technical features and effectiveness of chaos-based encryption methods are investigated.
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| ICACT20250205 Slide.05
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Dachselt et al. [1] presented their opinion on the connection between chaos and cryptography (CRY), and many investigations have been conducted on the application of chaotic behavior to encryption.
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| ICACT20250205 Slide.06
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The initial values and control parameters are used to iterate the chaotic maps to generate a real-number time series for the encryption.
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| ICACT20250205 Slide.07
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Cryptanalysis methods can be applied to prove the inadequacy of chaotic encryption algorithms for SEC.
Effective encryption technologies exhibit excellent diffusion and confusion properties.
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| ICACT20250205 Slide.08
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Chaos-based CRY exhibits ergodic behavior and CONF physical phenomena in terms of the chaotic initial conditions and control parameters.
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| ICACT20250205 Slide.09
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The operations include logistic map (LM), discard, scramble (SCR), exclusive or (XOR), permutation (PER), percent root-mean-square difference (PRD), and time complexity analysis (TCA) parameters of the original and cipher electroencephalography (EEG) signals were explored for differential attack evaluation.
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| ICACT20250205 Slide.10
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The aim of CRY design techniques is to provide SEC, as it protects information transmission from attackers, and is a significant aspect of data protection [5].
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| ICACT20250205 Slide.11
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Although chaos-based maps can have any number of dimensions, simple chaotic maps can only have one or two dimensions.
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| ICACT20250205 Slide.12
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The number of changing pixel rate (NPCR), and unified average changed intensity (UACI) parameters of the original and cipher images were analyzed.
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| ICACT20250205 Slide.13
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Researchers need to evaluate vulnerabilities using the key space, key sensitivity, and adjacent correlation coefficient. |
| ICACT20250205 Slide.14
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Chaotic medical image CRY is a prime research focus worldwide. The medical cloud should be encrypted when the clinical information of patients is stored or transmitted between two medical institutions [9].
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| ICACT20250205 Slide.15
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The mean square error, global and local information entropy, and TCA have been used to evaluate the encryption performance.
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| ICACT20250205 Slide.16
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Chen et al. [10] developed an adaptive medical image CRY algorithm based on logistic sinusoidal map (LSM) chaotic mapping to increase the robustness of existing chaotic IE technology.
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| ICACT20250205 Slide.17
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The LM and Bernoulli map (BERM) play vital roles in generating chaos-based encryption signals.
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| ICACT20250205 Slide.18
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The statistical and security analysis of the medical image CRY were performed using the NPCR (99.814%), and UACI (33.694%). |
| ICACT20250205 Slide.19
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A detailed security analysis was performed including statistical analyses of the HA, and pixel correlation. |
| ICACT20250205 Slide.20
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A cipher medical image can be generated using the XOR, PNG, randomized, and SCR operations.
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| ICACT20250205 Slide.21
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There are many technical features and effectiveness of operations commonly used in chaos-based medical image CRY. |
| ICACT20250205 Slide.22
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Table 1 displays the technical features and effectiveness of chaos-based medical image CRY.
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| ICACT20250205 Slide.23
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These chaotic maps are used in chaos-based medical image CRY.
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Table 2 shows the chaotic maps of medical image CRY.
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The basic security evaluation methods include ACC, GLIE, HA, KSP, and KSS.
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| ICACT20250205 Slide.26
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Table 3 lists security evaluation methods for chaos-based medical image CRY.
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In this study, we have focused on chaos-based medical encryption, which is critical in clinical medical image CRY operations.
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The main objective of this study was to present innovative approaches for the chaotic encryption of medical images.
The fundamental knowledge outlined in this study plays a significant role in chaotic image CRY.
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| ICACT20250205 Slide.29
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The original literature relating to multiple chaotic maps included two papers [10][11] original literature relating to robust chaos-based technique included one papers [14] and the original literature relating to fast and simple chaotic system included one papers [13] for the chaos-based EEG signal encryption.
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| ICACT20250205 Slide.30
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Chaotic medical image CRY has been applied to telehealth, telemedicine, IoMT, and cloud-based medicine systems.
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| ICACT20250205 Slide.31
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Acknowledgment
The authors acknowledge the valuable comments of the reviewers |
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1 Chaos and cryptography
2 A basic framework for the cryptanalysis of digital chaos-based cryptography |
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5 A survey of chaos-based cryptography
6 A review of chaos based image encryption |
| ICACT20250205 Slide.34
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9 Chaotic map based encryption algorithm for secured medical data analytics
10 Adaptive medical image encryption algorithm based on multiple chaotic mapping
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| ICACT20250205 Slide.35
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13 Framework for efficient medical image encryption using dynamic s-boxes and chaotic maps
14 Chaos-based medical image encryption scheme using special nonlinear filtering function based LFSR |
| ICACT20250205 Slide.36
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Dr. Chin-Feng Lin has been published 30 SCI journal papers,
and 92 conference papers. His research interests include mobile telemedicine, and biomedical signal processing.
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| ICACT20250205 Slide.37
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Yan-Xuan Lin's research interests include biomedical signal processing, and mobile telemedicine.
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