An Efficient and Secure DNA based Image Encryption Technique

Main Article Content

Ajit Singh, Bijendra Singh

Abstract

In this paper, an efficient and secure DNA based image encryption technique using hyper chaos Lorenz function is proposed. The technique employs SHA-512 hash of gray scale image and primary key to alter the initial seeds of hyper chaos Lorenz function. Initially, chaotic sequences are generated and redesigned. Then, an image is divided into blocks and randomly shuffled according to the primary key. Further perform circular shift operation over the rows of the shuffled image matrix and index based scrambling operation over the columns. After that, perform dynamic encoding and diffusion based DNA algebraic operation over the encoded DNA sequence and DNA based Key sequence using chaotic sequence. Finally, DNA decoding is employed to convert the diffused dynamic matrix into a ciphered image. The dynamicity of the chaotic sequences makes its extraordinary and contributes to the enhanced security and robustness of the technique. Implementation, security and performance analysis demonstrate that the technique has not only an outstanding encryption effect, but also posses large key space, less pixel correlation, low computation time and successfully resilient to the statistical, differential and brute-force attack. Comparative analysis with other references proves its efficiency and practicability for real time applications.

Article Details

How to Cite
Ajit Singh, et al. (2023). An Efficient and Secure DNA based Image Encryption Technique. International Journal on Recent and Innovation Trends in Computing and Communication, 11(8), 366–377. https://doi.org/10.17762/ijritcc.v11i8.9274
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Articles
Author Biography

Ajit Singh, Bijendra Singh

Ajit Singh1, Dr. Bijendra Singh2

1Research Scholar

Department of Computer Science Engineering, Baba Mastnath University, Rohtak, India

Email : ajit713@gmail.com

2Assistant Professor

Department of Computer Science Engineering, Baba Mastnath University, Rohtak, India

Email : bijendra.singh046@gmail.com