Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 736

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

Image encryption using 2D Logistic-adjusted-Sine map

Hua, Zhongyun, Zhou, Yicong·2016·Information Sciences

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.ins.2016.01.017

Cites

12 of 12 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 12 references

Research works printed but not linked: 36

  1. Arroyo, 2008, On the security of a new image encryption scheme based on chaotic map lattices, Chaos Interdiscip. J. Nonlinear Sci., 18, 033112, 10.1063/1.2959102 · DOI
  2. Bao, 2015, Image encryption: Generating visually meaningful encrypted images, Inf. Sci., 324, 197, 10.1016/j.ins.2015.06.049 · DOI
  3. Chen, 2002, Parameters identification and synchronization of chaotic systems based upon adaptive control, Phys. Lett. A, 299, 353, 10.1016/S0375-9601(02)00522-4 · DOI
  4. Diaconu, 2013, An improved secure image encryption algorithm based on Rubik’s cube principle and digital chaotic cipher, Math. Probl. Eng., 2013, 10.1155/2013/848392 · DOI
  5. Faure, 1998, A new method to estimate the Kolmogorov entropy from recurrence plots: its application to neuronal signals, Phys. D Nonlinear Phenom., 122, 265, 10.1016/S0167-2789(98)00177-8 · DOI
  6. Fu, 2012, A chaos-based digital image encryption scheme with an improved diffusion strategy, Opt. Express, 20, 2363, 10.1364/OE.20.002363 · DOI · Paper page
  7. Fu, 2011, A novel chaos-based bit-level permutation scheme for digital image encryption, Opt. Commun., 284, 5415, 10.1016/j.optcom.2011.08.013 · DOI · Paper page
  8. Gallas, 1993, Structure of the parameter space of the Hénon map, Phys. Rev. Lett., 70, 2714, 10.1103/PhysRevLett.70.2714 · DOI
  9. Grassberger, 1983, Estimation of the Kolmogorov entropy from a chaotic signal, Phys. Rev. A, 28, 2591, 10.1103/PhysRevA.28.2591 · DOI · Paper page
  10. Hsiao, 2015, Color image encryption using chaotic nonlinear adaptive filter, Signal Process., 117, 281, 10.1016/j.sigpro.2015.06.007 · DOI
  11. Hua, 2015, 2D Sine Logistic modulation map for image encryption, Inf. Sci., 297, 80, 10.1016/j.ins.2014.11.018 · DOI · Paper page
  12. Li, 2010, Breaking a chaotic cryptographic scheme based on composition maps, Int. J. Bifurc. Chaos, 20, 2561, 10.1142/S0218127410027192 · DOI
  13. Li, 2013, Breaking a chaotic image encryption algorithm based on modulo addition and XOR operation, Int. J. Bifurc. Chaos, 23, 10.1142/S0218127413500752 · DOI
  14. Li, 2008, Cryptanalysis of an image scrambling scheme without bandwidth expansion, IEEE Trans. Circuits Syst. Video Technol., 18, 338, 10.1109/TCSVT.2008.918116 · DOI
  15. Liao, 2010, A novel image encryption algorithm based on self-adaptive wave transmission, Signal Process., 90, 2714, 10.1016/j.sigpro.2010.03.022 · DOI · Paper page
  16. Ling, 1999, A general efficient method for chaotic signal estimation, IEEE Trans. Signal Process., 47, 1424, 10.1109/78.757236 · DOI
  17. Papadopoulos, 1995, Maximum-likelihood estimation of a class of chaotic signals, IEEE Trans. Inf. Theory, 41, 312, 10.1109/18.370091 · DOI
  18. Ping, 2014, Image encryption based on non-affine and balanced cellular automata, Signal Process., 105, 419, 10.1016/j.sigpro.2014.06.020 · DOI
  19. Rajput, 2013, Known-plaintext attack on encryption domain independent optical asymmetric cryptosystem, Opt. Commun., 309, 231, 10.1016/j.optcom.2013.06.036 · DOI
  20. Shen, 2014, Designing hyperchaotic systems with any desired number of positive Lyapunov exponents via a simple model, IEEE Trans. Circuits Syst. I Regul. Pap., 61, 2380, 10.1109/TCSI.2014.2304655 · DOI
  21. Shevchenko, 2014, Lyapunov exponents in resonance multiplets, Phys. Lett. A, 378, 34, 10.1016/j.physleta.2013.10.035 · DOI
  22. Skrobek, 2007, Cryptanalysis of chaotic stream cipher, Phys. Lett. A, 363, 84, 10.1016/j.physleta.2006.10.081 · DOI
  23. Tedmori, 2014, Image cryptographic algorithm based on the Haar wavelet transform, Inf. Sci., 269, 21, 10.1016/j.ins.2014.02.004 · DOI
  24. Wang, 2013, Secure chaotic system with application to chaotic ciphers, Inf. Sci., 221, 555, 10.1016/j.ins.2012.09.037 · DOI
  25. Wu, 2004, Parameter estimation only from the symbolic sequences generated by chaos system, Chaos Solitons Fractals, 22, 359, 10.1016/j.chaos.2004.02.008 · DOI
  26. Wu, 2012, Image encryption using the two-dimensional logistic chaotic map, J. Electron. Imaging, 21, 10.1117/1.JEI.21.1.013014 · DOI · Paper page
  27. Wu, 2014, A symmetric image cipher using wave perturbations, Signal Process., 102, 122, 10.1016/j.sigpro.2014.03.015 · DOI
  28. Wu, 2014, Design of image cipher using latin squares, Inf. Sci., 264, 317, 10.1016/j.ins.2013.11.027 · DOI
  29. Xiao, 2005, One-way hash function construction based on the chaotic map with changeable-parameter, Chaos Solitons Fractals, 24, 65, 10.1016/S0960-0779(04)00456-4 · DOI
  30. Zhang, 2014, A chaotic image encryption scheme owning temp-value feedback, Commun. Nonlinear Sci. Numer. Simul., 19, 3653, 10.1016/j.cnsns.2014.03.016 · DOI
  31. Zhang, 2014, Breaking an image encryption algorithm based on hyper-chaotic system with only one round diffusion process, Nonlinear Dyn., 76, 1645, 10.1007/s11071-014-1235-2 · DOI
  32. Zhang, 2014, On the security of symmetric ciphers based on DNA coding, Inf. Sci., 289, 254, 10.1016/j.ins.2014.08.005 · DOI
  33. Zhang, 2015, Exploiting random convolution and random subsampling for image encryption and compression, Electron. Lett., 51, 1572, 10.1049/el.2015.0927 · DOI
  34. Zhang, 2014, A symmetric image encryption algorithm based on mixed linear-nonlinear coupled map lattice, Inf. Sci., 273, 329, 10.1016/j.ins.2014.02.156 · DOI · Paper page
  35. Zhou, 2013, Image encryption using a new parametric switching chaotic system, Signal Process., 93, 3039, 10.1016/j.sigpro.2013.04.021 · DOI · Paper page
  36. Zhou, 2015, Cascade chaotic system with applications, IEEE Trans. Cybern., 45, 2001, 10.1109/TCYB.2014.2363168 · DOI · Paper page

Cited by

See all 736

Metadata

Authors
Hua, Z., & Zhou, Y.
Venue
Information Sciences
Publisher
Elsevier BV
Published
2016-04
Volume
339
Pages
237-253
ISSN
0020-0255 (ISSN-L)
OpenAlex
W2239443241
Cited by
736
References
12
FWCI
45.41
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)

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.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Image encryption using 2D Logistic-adjusted-Sine map. https://app.cochat.ai/papers/10.1016/j.ins.2016.01.017
The paper
Hua, Z., & Zhou, Y. (2016). Image encryption using 2D Logistic-adjusted-Sine map. Information Sciences. https://doi.org/10.1016/j.ins.2016.01.017

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.