ECG signals recruitment to implement a new technique for medical image encryption

被引：19

作者：

Abdulbaqi, Azmi Shawkat ^{[1
]}

Obaid, Ahmed J. ^{[2
]}

Mohammed, Alyaa Hashem ^{[3
]}

机构：

[1] Univ Anbar, Coll Comp Sci & Informat Technol, Ramadi, Iraq

[2] Univ Kufa, Fac Comp Sci & Math, Dept Comp Sci, Kufa, Iraq

[3] Al Mustansiriyah Univ, Coll Adm & Econ, Dept Stat, Baghdad, Iraq

来源：

JOURNAL OF DISCRETE MATHEMATICAL SCIENCES & CRYPTOGRAPHY | 2021年 / 24卷 / 06期

关键词：

Electrocardiogram (ECG); Image encryption (ImgEnc); Autoblocking (AutBlk); Diffusion; Chatioc maps (ChMp);

D O I：

10.1080/09720529.2021.1884378

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

Electrocardiogram (ECG) signal utilization for medical image encryption (ImgEnc) algorithm was proposed in this manuscript. It will utilize the chaotic logistic map and the generalized Arnold map (Cat Map). To generate initial conditions for Chaotic Maps (ChMp), the ECG signal and wolf algorithm are utilized. Autoblocking diffusion (AutBlk) is done only in the process of encryption. A control parameter generated from the plain-image (Plainimg) generates the main stream, which is effective and safe against selected plaintext (Plaintxt) and known Plaintxt attacks. Experimental findings show that with good efficiency, the proposed algorithm can achieve high security.

引用

页码：1663 / 1673

页数：11

共 17 条

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