Cited by 22Chaos-based Image/Signal EncryptionComputer Science and EngineeringAdvanced Steganography and Watermarking Techniques

A cryptographic model for better information security

Kumar, Sunil, Kumar, Manish, Budhiraja, Rajat, Das, M.K., Singh, Sanjeev·2018·Journal of Information Security and Applications

Integrity signals

Registry

Crossref · 10.1016/j.jisa.2018.10.011

Cites

3 of 3 references verified0 citation errors · 0 not checkable

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Claims the paper makes

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  • The sensitivity mechanisms of PRNS on the plain-image built in [80,119,27,92] can be easily canceled by constructing special plain-images.

    “For example, the sensitivity mechanisms of PRNS on the plain-image built in [80,119,27,92] can be easily canceled by constructing some special plain-images, which has been reported in many cryptanalysis papers such as [1,117].”

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Authors
Kumar, S., Kumar, M., Budhiraja, R., Das, M. K., & Singh, S.
Affiliations
  • University of Delhi (IN)
  • Indira Gandhi University, Meerpur (IN)
Corresponding author
Singh, Sanjeev
Venue
Journal of Information Security and Applications
Publisher
Elsevier BV
Published
2018-12
Volume
43
Pages
123-138
ISSN
2214-2126 (ISSN-L)
OpenAlex
W2901902006
Cited by
22
References
3
Citations by year
2025: 1 · 2024: 2 · 2023: 1 · 2022: 1 · 2021: 5 · 2020: 8 · 2019: 4
FWCI
2.13
Type
journal article
Language
en
Open access
closed
Locations
Journal of Information Security and Applications (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, coupled map lattices, chaotic systems, confusion and diffusion, NPCR, UACI, key space analysis, brute force attacks, statistical attacks

About these checks

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.

Statistics and arithmetic are recomputed, not judged.

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