Cited by 43Chaos-based Image/Signal EncryptionComputer Science and EngineeringAdvanced Steganography and Watermarking Techniques

The DOI matches its Crossref record.

Image encryption using the Sudoku matrix

Abstract

This paper introduces a new effective and lossless image encryption algorithm using a Sudoku Matrix to scramble and encrypt the image. The new algorithm encrypts an image through a three stage process. In the first stage, a reference Sudoku matrix is generated as the foundation for the encryption and scrambling processes. The image pixels' intensities are then changed by using the reference Sudoku matrix values, and then the pixels' positions are shuffled using the Sudoku matrix as a mapping process. The advantages of this method is useful for efficiently encrypting a variety of digital images, such as binary images, gray images, and RGB images without any quality loss. The security keys of the presented algorithm are the combination of the parameters in a 1D chaotic logistic map, a parameter to control the size of Sudoku Matrix and the number of iteration times desired for scrambling. The possible security key space is extremely large. The principles of the presented scheme could be applied to provide security for a variety of systems including image, audio and video systems.

Overview

Integrity signals

Registry

Crossref · 10.1117/12.853197

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Metadata

Authors
Wu, Y., Zhou, Y., Noonan, J. P., Panetta, K., & Agaian, S.
Affiliations
  • Tufts University (US)
  • The University of Texas at San Antonio (US)
Venue
SPIE Proceedings
Publisher
SPIE
Published
2010-04-23
Volume
7708
Pages
77080P
ISSN
0277-786X (ISSN-L)
OpenAlex
W2041437267
Cited by
43
References
0
Citations by year
2024: 2 · 2023: 2 · 2022: 3 · 2021: 6 · 2019: 3 · 2018: 3 · 2017: 1 · 2016: 3 · 2015: 4 · 2014: 5 · 2013: 6 · 2012: 3
FWCI
3.02
Type
conference paper
Language
en
Open access
closed
Locations
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Chaos-based Image/Signal Encryption
  • Physical Sciences › Computer Science › Artificial Intelligence › Computer Science and Engineering
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Steganography and Watermarking Techniques
Keywords
image encryption, pixel scrambling, chaotic logistic map, key space, binary images, RGB images, grayscale images

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