Cited by 33Chaos-based Image/Signal EncryptionComputer Science and EngineeringAdvanced Steganography and Watermarking Techniques

Image Encryption using Block Based Uniform Scrambling and Chaotic Logistic Mapping

Rakesh, S·2012·International Journal on Cryptography and Information Security

Integrity signals

Registry

Crossref · 10.5121/ijcis.2012.2105

Cites

1 of 1 references verified0 citation errors · 0 not checkable

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  • Standard encryption algorithms rely on confusion and diffusion, which are also included in chaotic systems.

    “The standard encryption algorithms have mainly relied on two important properties of confusion and diffusion for their encryption capability [9], which are also included in the chaotic system, such as being ergodic and extremely sensitive to initial conditions and the system parameters to provide a strong secret key.”

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Authors
Rakesh, S.
Corresponding author
Rakesh, S
Venue
International Journal on Cryptography and Information Security
Published
2012-03-31
Volume
2
Issue
1
Pages
49-57
ISSN
1839-8626 (ISSN-L)
OpenAlex
W2321261899
Cited by
33
References
1
Citations by year
2026: 1 · 2024: 1 · 2022: 4 · 2020: 1 · 2019: 4 · 2018: 3 · 2017: 1 · 2016: 2 · 2015: 6 · 2014: 5 · 2013: 4 · 2012: 1
FWCI
5.27
Type
journal article
Language
en
Open access
closed
Locations
International Journal on Cryptography and Information Security (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, chaotic logistic map, chaos-based cryptography, block cipher

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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