An efficient and self-adapting colour-image encryption algorithm based on chaos and interactions among multiple layers
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In [25], the sensitivity on the plain-image can be easily canceled due to the commutative property of modulo addition.
“Due to the commutative property of modulo addition, the sensitivity on the plain-image can be easily canceled as well.”
From When an attacker meets a cipher-image in 2018: A year in review (2019) · cites this paper as [25]
Cites
A chaos-based symmetric image encryption scheme using a bit-level permutation
Zhu, Z.-L., Zhang, W., Wong, K.-W., & Yu, H. (2011) · Information Sciences · doi:10.1016/j.ins.2010.11.009 · Cited by 662 · see citing works
A hybrid genetic algorithm and chaotic function model for image encryption
Abdullah, A. H., Enayatifar, R., & Lee, M. (2012) · AEU - International Journal of Electronics and Communications · doi:10.1016/j.aeue.2012.01.015 · Cited by 206 · see citing works
Color image encryption based on chaotic systems and elliptic curve ElGamal scheme
Wu, J., Liao, X., & Yang, B. (2017) · Signal Processing · doi:10.1016/j.sigpro.2017.04.006 · Cited by 183 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
When an attacker meets a cipher-image in 2018: A year in review
Li, C., Zhang, Y., & Xie, E. Y. (2019) · Journal of Information Security and Applications · doi:10.1016/j.jisa.2019.102361 · Cited by 217 · see citing works
“In [25], a self-adapting colour image encryption scheme based on chaotic maps and the interactions among three channels is proposed.”
MethodAn Image Encryption Method Based on Elliptic Curve Elgamal Encryption and Chaotic Systems
Luo, Y., Ouyang, X., Liu, J., & Cao, L. (2019) · IEEE Access · doi:10.1109/access.2019.2906052 · Cited by 172 · see citing works
Self-citationSecure Image Transmission Using Chaotic-Enhanced Elliptic Curve Cryptography
Abdelfatah, R. I. (2020) · IEEE Access · doi:10.1109/access.2019.2958336 · Cited by 73 · see citing works
Noise-Resistant Image Encryption Scheme for Medical Images in the Chaos and Wavelet Domain
Shafique, A., Ahmed, J., Rehman, M. U., & Hazzazi, M. M. (2021) · IEEE Access · doi:10.1109/access.2021.3071535 · Cited by 72 · see citing works
A Robust Image Encryption Algorithm Based on a 32-bit Chaotic System
Li, H., Deng, L., & Gu, Z. (2020) · IEEE Access · doi:10.1109/access.2020.2972296 · Cited by 51 · see citing works
- Authors
- Luo, Y., Zhou, R., Liu, J., Qiu, S., & Cao, Y.
- Affiliations
- Guangxi Normal University (CN)
- University of Surrey (GB)
- Corresponding author
- Liu, Junxiu
- Venue
- Multimedia Tools and Applications
- Published
- 2018-03-08
- Volume
- 77
- Issue
- 20
- Pages
- 26191-26217
- ISSN
- 1380-7501 (ISSN-L)
- 1573-7721
- OpenAlex
- W2794294462
- Cited by
- 75
- References
- 3
- Citations by year
- 2025: 2 · 2024: 8 · 2023: 3 · 2022: 16 · 2021: 15 · 2020: 17 · 2019: 9 · 2018: 5
- FWCI
- 5.76
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Multimedia Tools and Applications (publishedVersion)
- Surrey Research Insight Open Access (The University of Surrey) (submittedVersion)
- Funders
- National Natural Science Foundation of China (61661008)
- Natural Science Foundation of Guangxi Province (2015GXNSFBA139256, 2016GXNSFCA380017, 2017GXNSFAA198180)
- the funding of Overseas 100 Talents Program of Guangxi Higher Education
- Research Project of Guangxi University of China (KY2016YB059)
- Guangxi Key Lab of Multi-source Information Mining & Security (MIMS15-07)
- Doctoral Research Foundation of Guangxi Normal University
- Guangxi Experiment Centre of Information Science
- Innovation Project of Guangxi Graduate Education (YCSZ2017055)
- 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
- color image encryption, chaos-based cryptography, image scrambling, confusion and diffusion, key sensitivity, key space, statistical attack resistance
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
