Indian Journal of Science and Technology
Year: 2022, Volume: 15, Issue: 10, Pages: 457-467
S Syed Suhaila1,*, V Pradeep 2
1 Assistant Professor, Department of Computer Science and Engineering, Alagappa Chettiar Government College of Engineering and Technology, Karaikudi, Tamil Nadu, India
2 Assistant Professor, Department of Electrical and Electronics Engineering, Alagappa Chettiar Government College of Engineering and Technology, Karaikudi, Tamil Nadu, India
*Corresponding author email: [email protected]
Received Date:14 December 2021, Accepted Date:19 February 2022, Published Date:14 March 2022
Objectives: To design a fast and efficient color image encryption technique using 2D Duffing, Henon and Tinkerbell maps. Methods: The presented work employs the confusion-diffusion-confusion structure for encryption. Pixel-level scrambling is undertaken in the first phase of confusion, and the scrambled image is diffused using the Exclusive-OR operation. Finally, bit-level permutation is used for improved security. This work makes use of the 44 samples from the USC-SIPI image database. Findings: The presented color image encryption technology's performance is quantitatively compared with two recent techniques and observed that the proposed work reduces time by 81.2%. Novelty: This work employs a confusion-diffusion-confusion framework which increases algorithmic security by 47.8%. Further, a novel key generation scheme is designed to generate dynamic and input image-sensitive keys. Applications/Improvements: The simple Exclusive-OR operation-based diffusion that is devised significantly minimizes encryption time, thereby making it ideal for real-time applications.
Keywords: Encryption, Chaos, Sensitivity, Entropy, Histogram
© 2022 Suhaila & Pradeep. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Published By Indian Society for Education and Environment (iSee)
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