An image encryption scheme based on IAVL permutation scheme and DNA operations
Open accessAbstract
In this paper, a novel image encryption algorithm based on a new permutation scheme and DNA operations are introduced. In our algorithm, SHA 256 and DNA hamming distance participate in the generation of the initial conditions of the 4D chaotic system, which can associate the encryption system with the original image. In the permutation process, based on the adjustment process of the IAVL (improved balanced binary tree), a new scrambling algorithm is constructed. Then the dynamic block coding rules are designed, in which different image blocks have different coding rules. In the diffusion process, a new diffusion algorithm with intra-block and inter-block is proposed to perform DNA operations on the intermediate encryption result and the key matrix. In the security analysis, the key space of the encryption system is 2933and the information entropy is about 7.9973. In addition, the NPCR and UACI in the differential attack test are close to the ideal values of 99.6094% and 33.4653%. To further prove the security of the encryption algorithm, the Irregular deviation, Maximum deviation, Energy, Contrast, and Homogeneity tests are introduced into the analysis. Experimental results illustrate that the encryption scheme can against multiple illegal attacks like statistical, brute-force and differential attacks.
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.
Integrity signals
Registry
Cites
Statistics
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.
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?
Energy values are in the range of (0, 1).
“the resulting energy values are in the range of (0, 1) [54].”
From Image Encryption Algorithms: A Survey of Design and Evaluation Metrics (2024) · cites this paper as [54]
The “Energy of Analysis” section (page unavailable) defines energy using the sum of squared GLCM elements and says Table 14 reports energy values for the authors’ encryption scheme. The text available in our copy does not state that those values fall strictly between 0 and 1, and the table’s numerical entries are not present. (LLM, conf=0.74)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Symmetric Ciphers Based on Two-Dimensional Chaotic Maps
Fridrich, J. (1998) · International Journal of Bifurcation and Chaos · doi:10.1142/s021812749800098x · Cited by 1,917 · see citing works
A novel chaos-based image encryption algorithm using DNA sequence operations
Chai, X., Chen, Y., & Broyde, L. (2016) · Optics and Lasers in Engineering · doi:10.1016/j.optlaseng.2016.08.009 · Cited by 633 · see citing works
Kulsoom, A., Xiao, D., Rehman, A. U., & Abbas, S. A. (2014) · Multimedia Tools and Applications · doi:10.1007/s11042-014-2221-x · Cited by 330 · see citing works
Chen, J., Zhu, Z.-L., Zhang, L.-B., Zhang, Y., & Yang, B.-Q. (2018) · Signal Processing · doi:10.1016/j.sigpro.2017.07.034 · Cited by 320 · see citing works
A RGB image encryption algorithm based on DNA encoding and chaos map
Liu, L., Zhang, Q., & Wei, X. (2012) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2012.02.007 · Cited by 301 · see citing works
Chaos based efficient selective image encryption
Khan, J. S., & Ahmad, J. E. (2018) · Multidimensional Systems and Signal Processing · doi:10.1007/s11045-018-0589-x · Cited by 227 · see citing works
Image and video encryption using SCAN patterns
Maniccam, S. S., & Bourbakis, N. (2003) · Pattern Recognition · doi:10.1016/j.patcog.2003.08.011 · Cited by 223 · see citing works
A novel image encryption algorithm using chaos and reversible cellular automata
Wang, X., & Luan, D. (2013) · Communications in Nonlinear Science and Numerical Simulation · doi:10.1016/j.cnsns.2013.04.008 · Cited by 216 · see citing works
Selective excitation in Fourier transform nuclear magnetic resonance
Morris, G. A., & Freeman, R. (2011) · Journal of Magnetic Resonance · doi:10.1016/j.jmr.2011.08.031 · Cited by 205 · see citing works
Yang, F., Mou, J., Ma, C., & Cao, Y. (2020) · Optics and Lasers in Engineering · doi:10.1016/j.optlaseng.2020.106031 · Cited by 181 · see citing works
Self-citationA fast chaos-based image encryption scheme with a dynamic state variables selection mechanism
Chen, J., Zhu, Z., Fu, C., Yu, H., & Zhang, L. (2014) · Communications in Nonlinear Science and Numerical Simulation · doi:10.1016/j.cnsns.2014.06.032 · Cited by 176 · see citing works
Liu, T., Yan, H., Banerjee, S., et al. (2021) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2021.110791 · Cited by 150 · see citing works
Self-citationA novel simple chaotic circuit based on memristor–memcapacitor
Ma, X., Mou, J., Liu, J., Ma, C., Yang, F., & Zhao, X. (2020) · Nonlinear Dynamics · doi:10.1007/s11071-020-05601-x · Cited by 144 · see citing works
Self-citationSelective encryption for gray images based on chaos and DNA complementary rules
Rehman, A. U., Liao, X., Kulsoom, A., & Abbas, S. A. (2014) · Multimedia Tools and Applications · doi:10.1007/s11042-013-1828-7 · Cited by 143 · see citing works
An improved image encryption algorithm with finite computing precision
Chen, C., Sun, K., & He, S. (2019) · Signal Processing · doi:10.1016/j.sigpro.2019.107340 · Cited by 139 · see citing works
Compressive sensing based image compression-encryption using Novel 1D-Chaotic map
Ponuma, R., & Amutha, R. (2017) · Multimedia Tools and Applications · doi:10.1007/s11042-017-5378-2 · Cited by 135 · see citing works
Rehman, A. U., Liao, X., Hahsmi, M. A., & Haider, R. (2017) · Optik · doi:10.1016/j.ijleo.2017.09.099 · Cited by 131 · see citing works
Chaotic image cryptosystem using DNA deletion and DNA insertion
Hu, T., Liu, Y., Gong, L., Guo, S., & Yuan, H.-M. (2017) · Signal Processing · doi:10.1016/j.sigpro.2016.12.008 · Cited by 124 · see citing works
Li, X., Mou, J., Xiong, L., Wang, Z., & Xu, J. (2021) · Optics & Laser Technology · doi:10.1016/j.optlastec.2021.107074 · Cited by 122 · see citing works
Self-citationA fast image algorithm based on rows and columns switch
Wang, X., Wang, Q., & Zhang, Y. (2014) · Nonlinear Dynamics · doi:10.1007/s11071-014-1729-y · Cited by 121 · see citing works
Novel hybrid image compression–encryption algorithm based on compressive sensing
Zhou, N., Zhang, A., Wu, J., Pei, D., & Yang, Y. (2014) · Optik · doi:10.1016/j.ijleo.2014.06.054 · Cited by 117 · see citing works
A New Chaotic Image Encryption Scheme Using Breadth-First Search and Dynamic Diffusion
Yin, Q., & Wang, C. (2018) · International Journal of Bifurcation and Chaos · doi:10.1142/s0218127418500475 · Cited by 113 · see citing works
Multiple grayscale image encryption using cross-coupled chaotic maps
Patro, K. A. K., Soni, A., Netam, P. K., & Acharya, B. (2020) · Journal of Information Security and Applications · doi:10.1016/j.jisa.2020.102470 · Cited by 112 · see citing works
Wavelet transform of fractal aggregates
Argoul, F., Arnéodo, A., Elezgaray, J., Grasseau, G., & Murenzi, R. (1989) · Physics Letters A · doi:10.1016/0375-9601(89)90003-0 · Cited by 100 · see citing works
A novel image compression–encryption hybrid algorithm based on the analysis sparse representation
Zhang, Y., Xu, B., & Zhou, N. (2017) · Optics Communications · doi:10.1016/j.optcom.2017.01.061 · Cited by 96 · see citing works
DNA and Plaintext Dependent Chaotic Visual Selective Image Encryption
Khan, J. S., Boulila, W., Ahmad, J. E., Rubaiee, S., Rehman, A. U., Alroobaea, R., & Buchanan, W. J. (2020) · IEEE Access · doi:10.1109/access.2020.3020917 · Cited by 94 · see citing works
An, X., & Qiao, S. (2020) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2020.110587 · Cited by 90 · see citing works
Patro, K. A. K., Acharya, B., & Nath, V. (2019) · IETE Technical Review · doi:10.1080/02564602.2019.1595751 · Cited by 86 · see citing works
A block image encryption algorithm based on wave transmission and chaotic systems
Ye, G. (2013) · Nonlinear Dynamics · doi:10.1007/s11071-013-1074-6 · Cited by 84 · see citing works
A novel image encryption algorithm based on the chaotic system and DNA computing
Chai, X., Gan, Z., Lu, Y., Chen, Y., & Han, D. (2017) · International Journal of Modern Physics C · doi:10.1142/s0129183117500693 · Cited by 80 · see citing works
Secure multi–level permutation operation based multiple colour image encryption
Patro, K. A. K., & Acharya, B. (2018) · Journal of Information Security and Applications · doi:10.1016/j.jisa.2018.03.006 · Cited by 75 · see citing works
Zhu, S., & Zhu, C. (2019) · IEEE Access · doi:10.1109/access.2019.2946208 · Cited by 73 · see citing works
Image encryption based on the pseudo-orbits from 1D chaotic map
Nepomuceno, E. G., Nardo, L. G., Arias-García, J., Бутусов, Д., & Вадимовна, Т. А. (2019) · Chaos An Interdisciplinary Journal of Nonlinear Science · doi:10.1063/1.5099261 · Cited by 72 · see citing works
An efficient dual-layer cross-coupled chaotic map security-based multi-image encryption system
Patro, K. A. K., & Acharya, B. (2021) · Nonlinear Dynamics · doi:10.1007/s11071-021-06409-z · Cited by 72 · see citing works
Novel SCAN-CA-based image security system using SCAN and 2-D von Neumann cellular automata
Chen, R., & Horng, S. (2010) · Signal Processing Image Communication · doi:10.1016/j.image.2010.03.002 · Cited by 65 · see citing works
Chaos and compressive sensing based novel image encryption scheme
Khan, J. S., & Kayhan, S. K. (2021) · Journal of Information Security and Applications · doi:10.1016/j.jisa.2020.102711 · Cited by 65 · see citing works
Dynamical analysis of the improper fractional-order 2D-SCLMM and its DSP implementation
Liu, T., Banerjee, S., Yan, H., et al. (2021) · The European Physical Journal Plus · doi:10.1140/epjp/s13360-021-01503-y · Cited by 62 · see citing works
Self-citationColour image encryption based on customized neural network and DNA encoding
Patel, S., Thanikaiselvan, V., Pelusi, D., Nagaraj, B., Arunkumar, R., & Amirtharajan, R. (2021) · Neural computing & applications (Print) · doi:10.1007/s00521-021-06096-2 · Cited by 58 · see citing works
An Image Compression and Encryption Algorithm Based on the Fractional-Order Simplest Chaotic Circuit
Hu, H., Cao, Y., Xu, J., et al. (2021) · IEEE Access · doi:10.1109/access.2021.3054842 · Cited by 57 · see citing works
Self-citationImage encryption algorithm based on dynamic DNA coding operations and 3D chaotic systems
Telem, A. N. K., Fotsin, H. B., & Kengne, J. (2021) · Multimedia Tools and Applications · doi:10.1007/s11042-021-10549-0 · Cited by 56 · see citing works
Ma, C., Mou, J., Li, P., et al. (2021) · The European Physical Journal Special Topics · doi:10.1140/epjs/s11734-021-00133-w · Cited by 55 · see citing works
Self-citationRing oscillator as confusion – diffusion agent: a complete TRNG drove image security
Sivaraman, R., Rajagopalan, S., Rayappan, J. B. B., & Amirtharajan, R. (2020) · IET Image Processing · doi:10.1049/iet-ipr.2019.0168 · Cited by 52 · see citing works
Advanced framework for highly secure and cloud‐based storage of colour images
Chidambaram, N., Raj, P., Thenmozhi, K., & Amirtharajan, R. (2020) · IET Image Processing · doi:10.1049/iet-ipr.2018.5654 · Cited by 52 · see citing works
DNA key based visual chaotic image encryption
Khan, J. S., Ahmad, J. E., Ahmed, S. S., Siddiqa, H. A., Abbasi, S. F., & Kayhan, S. K. (2019) · Journal of Intelligent & Fuzzy Systems · doi:10.3233/jifs-182778 · Cited by 50 · see citing works
An improved color image encryption scheme and cryptanalysis based on a hyperchaotic sequence
Yang, F., Mou, J., Luo, C., & Cao, Y. (2019) · Physica Scripta · doi:10.1088/1402-4896/ab0033 · Cited by 48 · see citing works
Self-citationSecure multilevel permutation-diffusion based image encryption using chaotic and hyper-chaotic maps
Patro, K. A. K., Acharya, B., & Nath, V. (2019) · Microsystem Technologies · doi:10.1007/s00542-019-04395-2 · Cited by 43 · see citing works
A color image encryption method based on memristive hyperchaotic system and DNA encryption
Ouyang, X., Luo, Y., Liu, J., Cao, L., & Liu, Y. (2020) · International Journal of Modern Physics B · doi:10.1142/s0217979220500149 · Cited by 43 · see citing works
Security analysis of an image encryption algorithm based on chaos and DNA encoding
Özkaynak, F., Özer, A. B., & Yavuz, S. (2013) · Signal Processing and Communications Applications Conference (SIU) · doi:10.1109/siu.2013.6531597 · Cited by 41 · see citing works
A secure multi-stage one-round bit-plane permutation operation based chaotic image encryption
Patro, K. A. K., Acharya, B., & Nath, V. (2018) · Microsystem Technologies · doi:10.1007/s00542-018-4121-x · Cited by 39 · see citing works
Various dimensional colour image encryption based on non-overlapping block-level diffusion operation
Patro, K. A. K., Acharya, B., & Nath, V. (2019) · Microsystem Technologies · doi:10.1007/s00542-019-04676-w · Cited by 32 · see citing works
A robust image encryption framework based on DNA computing and chaotic environment
Roy, M., Chakraborty, S., Mali, K., Roy, D., & Chatterjee, S. (2021) · Microsystem Technologies · doi:10.1007/s00542-020-05120-0 · Cited by 26 · see citing works
A Chaotic Image Encryption Scheme Based on Hénon-Chebyshev Modulation Map and Genetic Operations
Liu, Y., Qin, Z., Liao, X., & Wu, J. (2020) · International Journal of Bifurcation and Chaos in Applied Sciences and Engineering · doi:10.1142/s021812742050090x · Cited by 21 · see citing works
Dual-Layer DNA-Encoding–Decoding Operation Based Image Encryption Using One-Dimensional Chaotic Map
Patro, K. A. K., Babu, M. P. J., Kumar, K. P., & Acharya, B. (2020) · Lecture notes in networks and systems · doi:10.1007/978-981-15-0694-9_8 · Cited by 19 · see citing works
Dynamic response and control of neuros based on electromagnetic field theory
An, X., Qiao, S., & Zhang, L. (2020) · Acta Physica Sinica · doi:10.7498/aps.70.20201347 · Cited by 19 · see citing works
Novel Data Encryption Scheme Using DNA Computing
Patro, K. A. K., & Acharya, B. (2018) · Chapman & Hall/CRC eBooks · doi:10.1201/9781351011419-4 · Cited by 14 · see citing works
A Color-Image Encryption Scheme Using a 2D Chaotic System and DNA Coding
Shakir, H. R. (2019) · Advances in Multimedia · doi:10.1155/2019/7074264 · Cited by 10 · see citing works
THE FREQUENCY OF ELLIPTIC CURVE GROUPS OVER PRIME FINITE FIELDSPreprint
Chandee, V., David, C., Koukoulopoulos, D., et al. (2016) · Cited by 10 · see citing works
Image encryption using dynamic DNA encoding and pixel scrambling using composite chaotic maps
Aditya, K., Mohanty, A. K., Ragav, G. A., et al. (2020) · IOP Conference Series Materials Science and Engineering · doi:10.1088/1757-899x/872/1/012045 · Cited by 9 · see citing works
The Frequency of Elliptic Curve Groups over Prime Finite Fields
Chandee, V., David, C., Koukoulopoulos, D., et al. (2015) · Canadian Journal of Mathematics · doi:10.4153/cjm-2015-013-1 · Cited by 6 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Image Encryption Algorithms: A Survey of Design and Evaluation Metrics
Alghamdi, Y., & Munir, A. (2024) · Journal of Cybersecurity and Privacy · doi:10.3390/jcp4010007 · Cited by 98 · see citing works
“It is calculated by summing the squared elements in the GLCM, and the resulting energy values are in the range of (0, 1) [54].”
BackgroundMethodInfluential
- Authors
- Sha, Y., Cao, Y., Yan, H., Gao, X., & Mou, J.
- Affiliations
- Dalian Polytechnic University (CN)
- Venue
- IEEE Access
- Published
- 2021
- Volume
- 9
- Pages
- 96321-96336
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W3182683315
- Cited by
- 31
- References
- 59
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 6 · 2023: 8 · 2022: 10 · 2021: 2
- FWCI
- 2.34
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- IEEE Access (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Natural Science Foundation of China (62061014)
- Natural Science Foundation of Liaoning Province (2020-MS-274)
- Basic Scientific Research Projects of Colleges and Universities of Liaoning Province (J202148)
- 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, four-dimensional chaotic system, scrambling, diffusion, SHA-256, key space, NPCR, UACI, differential attack resistance, 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