The DOI matches its Crossref record; 48 of the 50 references it cites were found in a registry or an index.
An efficient image encryption scheme based on chaotic and Deoxyribonucleic acid sequencing
Overview
Integrity signals
Registry
Cites
Statistics
Verification
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 the citing paper
“UACI values above 33.35% indicate the resistance to differential attacks [4].”
From A novel single kernel parallel image encryption scheme based on a chaotic map (2024) · cites this paper as [4]
In the citing paper
“The NPCR quantifies the percentage of pixels with nonidentical values for the two ciphered images and is calculated according to Equation (9), having desired values above 99.50% [4].”
From A novel single kernel parallel image encryption scheme based on a chaotic map (2024) · cites this paper as [4]
Citations
Cites
1 retracted
Khan, M., & Munir, N. (2019) · Wireless Personal Communications · doi:10.1007/s11277-019-06594-6 · Cited by 58
Self-citationRetractedImage quality assessment: from error visibility to structural similarity
Wang, Z., Bovik, A. C., Sheikh, H. R., & Simoncelli, E. P. (2004) · IEEE Transactions on Image Processing · doi:10.1109/tip.2003.819861 · Cited by 57,892
Multi chaotic systems based pixel shuffle for image encryption
Huang, C. K., & Nien, H. H. (2009) · Optics Communications · doi:10.1016/j.optcom.2009.02.044 · Cited by 325
Adleman, L. M. (1998) · Scientific American · doi:10.1038/scientificamerican0898-54 · Cited by 280
Norouzi, B., Mirzakuchaki, S., Seyedzadeh, S. M., & Mosavi, M. R. (2012) · Multimedia Tools and Applications · doi:10.1007/s11042-012-1292-9 · Cited by 219
Optical image encryption with multistage and multichannel fractional Fourier-domain filtering
Liu, S., Mi, Q., & Zhu, B. (2001) · Optics Letters · doi:10.1364/ol.26.001242 · Cited by 207
A novel chaotic image encryption technique based on multiple discrete dynamical maps
Khan, M., & Masood, F. (2019) · Multimedia Tools and Applications · doi:10.1007/s11042-019-07818-4 · Cited by 203
Self-citationImage Encryption Algorithm Based on DNA Encoding and Chaotic Maps
Zhang, J., -, D. F., & Ren, H. (2014) · Mathematical Problems in Engineering · doi:10.1155/2014/917147 · Cited by 151
A Timing Attack against RSA with the Chinese Remainder Theorem
Schindler, W. (2000) · Lecture notes in computer science · doi:10.1007/3-540-44499-8_8 · Cited by 145
Chaos-based diffusion for highly autocorrelated data in encryption algorithms
Ahmad, J. E., & Hwang, S. O. (2015) · Nonlinear Dynamics · doi:10.1007/s11071-015-2281-0 · Cited by 121
Research works printed but not linked: 1
- Abugharsa, 2011, A new image encryption approach using block-based on shifted algorithm, Int. J. Comput. Sci. Netw. Secur., 11, 123
Cited by
Secure image encryption scheme based on a new robust chaotic map and strong S-box
Zhu, S., Deng, X., Zhang, W., & Zhu, C. (2023) · Mathematics and Computers in Simulation · doi:10.1016/j.matcom.2022.12.025 · Cited by 180
A novel image encryption algorithm based on SPWLCM and DNA coding
Zhang, S., & Liu, L. (2021) · Mathematics and Computers in Simulation · doi:10.1016/j.matcom.2021.06.012 · Cited by 101
Image encryption scheme based on blind signature and an improved Lorenz system
Ye, G., Wu, H., Liu, M., & Shi, Y. (2022) · Expert Systems with Applications · doi:10.1016/j.eswa.2022.117709 · Cited by 92
IEHC: An efficient image encryption technique using hybrid chaotic map
Kumar, K., Roy, S., Rawat, U., & Malhotra, S. (2022) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2022.111994 · Cited by 78
HAIE: a hybrid adaptive image encryption algorithm using Chaos and DNA computing
Mansoor, S., & Parah, S. A. (2023) · Multimedia Tools and Applications · doi:10.1007/s11042-023-14542-7 · Cited by 70
Metadata
- Authors
- Alghafis, A., Firdousi, F., Khan, M., Batool, S. I., & Amin, M.
- Affiliations
- King Abdulaziz City for Science and Technology (SA)
- Institute of Space Technology (PK)
- Corresponding author
- Khan, Majid
- Venue
- Mathematics and Computers in Simulation
- Publisher
- Elsevier BV
- Published
- 2020-11
- Volume
- 177
- Pages
- 441-466
- ISSN
- 0378-4754 (ISSN-L)
- OpenAlex
- W3024223654
- Cited by
- 93
- References
- 50
- Citations by year
- 2026: 5 · 2025: 8 · 2024: 16 · 2023: 23 · 2022: 20 · 2021: 14 · 2020: 7
- FWCI
- 6.22
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Mathematics and Computers in Simulation (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- 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, DNA cryptography, chaotic sequences, DNA shuffling, confusion and diffusion, pixel correlation, entropy analysis, differential 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.
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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.
