Gray-Scale Image Encryption Using DNA Operations

Authors

  • M Sravanthi  Assistant Professor, Department of Information Technology, Bhoj Reddy Engineering College for Women, Hyderabad, India
  • B Bhavana  Department of Information Technology, Bhoj Reddy Engineering College for Women, Hyderabad, India
  • B Keerthana  Department of Information Technology, Bhoj Reddy Engineering College for Women, Hyderabad, India

Keywords:

DNA cryptography, image encryption, text encryption, DNA digital coding, DNA sequences

Abstract

In recent days, DNA cryptography is gaining more popularity for providing better security to image and text data. This paper presents a DNA based cryptographic solution for image and textual information. Image encryption involves scrambling at pixel and bit levels based on hyperchaotic sequences. Both image and text encryption involves basic DNA encoding rules, key combination, and conversion of data into binary and other forms. This new DNA cryptographic approach adds more dynamicity and randomness, making the cipher and keys harder to break. The proposed image encryption technique presents better results for various parameters, like Image Histogram, Correlation co-efficient, Information Entropy, Number of Pixels Change Rate (NPCR), and Unified Average Changing Intensity (UACI), Key Space, and Sensitivity compared with existing approaches. Improved time and space complexity, random key generation for text encryption prove that DNA cryptography can be a better security solution for new applications.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2023-04-30

Issue

Volume 9, Issue 2, March-April-2023

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
M Sravanthi, B Bhavana, B Keerthana, " Gray-Scale Image Encryption Using DNA Operations, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 9, Issue 2, pp.680-684, March-April-2023.