Bio-inspired cryptosystem on the reciprocal domain: DNA strands mutate to secure health data

S. AASHIQBANU; Rengarajan AMIRTHARAJAN

doi:10.1631/FITEE.2000071

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Bio-inspired cryptosystem on the reciprocal domain: DNA strands mutate to secure health data

Regular Papers | Updated：2022-06-06

- Bio-inspired cryptosystem on the reciprocal domain: DNA strands mutate to secure health data
- 互易域上的仿生密码系统：DNA链变异以保护健康数据
- Frontiers of Information Technology & Electronic Engineering Vol. 22, Issue 7, Pages: 940-956(2021)
- Affiliations：
  
  School of Electrical & Electronics Engineering, SASTRA Deemed University, Thanjavur 613401, India
- Author bio：
  
  [ "S. AASHIQ BANU, E-mail: aashiqbanu@sastra.ac.in" ]
  Rengarajan AMIRTHARAJAN, E-mail: amir@ece.sastra.edu
- Funds：
- DOI：10.1631/FITEE.2000071
  CLC：
- Received：13 February 2020，
  
  Revised：2021-;6-16，
  
  Published：2021-07
- Accepted：
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S. AASHIQBANU, Rengarajan AMIRTHARAJAN. Bio-inspired cryptosystem on the reciprocal domain: DNA strands mutate to secure health data[J]. Frontiers of Information Technology & Electronic Engineering, 2021, 22(7): 940-956.
DOI：

S. AASHIQBANU, Rengarajan AMIRTHARAJAN. Bio-inspired cryptosystem on the reciprocal domain: DNA strands mutate to secure health data[J]. Frontiers of Information Technology & Electronic Engineering, 2021, 22(7): 940-956. DOI： 10.1631/FITEE.2000071.

摘要

医疗保健和远程医疗行业依赖于互联网技术，数字健康数据更易受到网络攻击，因其中包含大量个人数据，因而，有必要保护数字医疗图像以及保证其安全传输。本文采用基于洛伦兹和吕混沌吸引子突变的DNA加密技术生成强伪随机密钥流。为增强混淆与扩散阶段的近似性系数，所提的混沌DNA加密系统在整数小波变换域和一个生物启发的交叉变异单元上运行。进而，使用组合演化吸引子中的量化混沌集进行异或运算。该算法可以获得平均信息熵7.9973，几乎接近于零相关性的像素变化率（number of pixel change rate

NPCR）99.642%，归一平均强度变化（unified average change in intensity

UACI）33.438%，以及密钥空间10

203

。此外，实验分析和基于美国国家标准与技术研究院（NIST）的统计测试套件测试证实，所提医疗图像加密技术具有抵御任何统计、差分和暴力攻击的能力。

Abstract

Healthcare and telemedicine industries are relying on technology that is connected to the Internet. Digital health data are more prone to cyber attacks because of the treasure trove of personal data they possess. This necessitates protection of digital medical images and their secure transmission. In this paper

an encryption technique based on DNA mutated with Lorenz and Lȹ chaotic attractors is employed to generate high pseudo-random key streams. The proposed chaos-DNA cryptic system operates on the integer wavelet transform (IWT) domain and a bio-inspired crossover

mutation unit for enhancing the confusion and diffusion phase in an approximation coefficient. Finally

an XOR operation is performed with a quantised chaotic set from the developed combined attractors. The algorithm attains an average entropy of 7.9973

near-zero correlation with an NPCR of 99.642%

a UACI of 33.438%

and a keyspace of 10

203

. Further

the experimental analyses and NIST statistical test suite have been designed such that the proposed medical image encryption technique has the potency to withstand any statistical

differential

and brute force attacks.

关键词

Keywords

references

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