An image encryption method based on chaos system and AES algorithm
Open accessAbstract
In this paper, a novel image encryption algorithm is proposed based on the combination of the chaos sequence and the modified AES algorithm. In this method, the encryption key is generated by Arnold chaos sequence. Then, the original image is encrypted using the modified AES algorithm and by implementing the round keys produced by the chaos system. The proposed approach not only reduces the time complexity of the algorithm but also adds the diffusion ability to the proposed algorithm, which make the encrypted images by the proposed algorithm resistant to the differential attacks. The key space of the proposed method is large enough to resist the brute-force attacks. This method is so sensitive to the initial values and input image so that the small changes in these values can lead to significant changes in the encrypted image. Using statistical analyses, we show that this approach can protect the image against the statistical attacks. The entropy test results illustrate that the entropy values are close to the ideal, and hence, the proposed algorithm is secure against the entropy attacks. The simulation results clarify that the small changes in the original image and key result in the significant changes in the encrypted image and the original image cannot be accessed.
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?
Digital images are estimated to represent around 70% of the files exchanged over the Internet.
“Digital images are estimated to represent around 70% of the files exchanged over the Internet [6]”
From A novel single kernel parallel image encryption scheme based on a chaotic map (2024) · cites this paper as [6]
The Introduction states that digital images form 70% of data transmitted through the Internet. It does not say that they account for 70% of files exchanged; a share of transmitted data is not necessarily a share of files. (LLM, conf=0.87)
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
An image encryption scheme based on new spatiotemporal chaos
Song, C.-Y., Qiao, Y.-L., & Zhang, X.-Z. (2013) · Optik - International Journal for Light and Electron Optics · doi:10.1016/j.ijleo.2012.11.002 · Cited by 164 · see citing works
Flagged first, then by citations
Research works printed but not linked: 19
- Norouzi B et al (2014) A simple, sensitive and secure image encryption algorithm based on hyper- chaotic system with only one round diffusion process. Multimed Tools Appl 71(3):1469-1497
- Kumari M, Gupta S, Sardana P (2017) A survey of image encryption algorithms. 3D Res 8(4):37
- Zahmoul R, Ejbali R, Zaied M (2017) Image encryption based on new Beta chaotic maps. Opt Lasers Eng 1(96):39-49
- Liu Hongjun, Wang Xingyuan (2011) Color image encryption using spatial bit-level permutation and high-dimension chaotic system. Opt Commun 284(16-17):3895-3903
- Guan Zhi-Hong, Huang Fangjun, Guan Wenjie (2005) Chaos-based image encryption algorithm. Phys Lett A 346(1-3):153-157
- Ye G, Wong KW (2012) An efficient chaotic image encryption algorithm based on a generalized Arnold map. Nonlinear Dyn 69(4):2079-2087
- Patro K, Banerjee A, Acharya B (2017) A simple, secure and time efficient multi-way rotational permutation and diffusion based image encryption by using multiple 1-D chaotic maps. In: Interna- tional Conference on Next Generation Computing Technologies. Springer, Singapore, pp 396-418
- Hailan Pan, Lei Yongmei, Jian Chen (2018) Research on digital image encryption algorithm based on double logistic chaotic map. EURASIP J Image Video Process 2018(1):142
- Sravanthi D et al (2019) A secure chaotic image encryption based on bit-plane operation. Soft com- puting in data analytics. Springer, Singapore, pp 717-726
- Partheeban P, Kavitha V (2018) Dynamic key dependent AES S-box generation with optimized quality analysis. Cluster Comput. https ://doi.org/10.1007/s1058 6-018-2386-6 · DOI
- Zeghid M, Machhout M, Khriji L, Baganne A, Tourki R (2007) A modified AES based algorithm for image encryption. In: International Conference on Computer, Information and Systems, pp 526-531
- ElBadawy ESAM, El-Masry WA, Mokhtar A, Hafez AES (2010) A new chaos advanced encryption standard (AES) algorithm for data security. In: International Conference on Signals and Electronic Circuits 14. Mondal Subijit, Maitra Subhashis (2014) Data security-modified AES algorithm and its applica- tions. ACM SIGARCH Comput Archit News 42(2):1-8
- D'souza FJ, Panchal D (2017) Advanced encryption standard (AES) security enhancement using hybrid approach. In: 2017 International Conference on Computing, Communication and Automa- tion (ICCCA). IEEE, pp 647-652
- Jha Y, Kaur K, Pradhan C (2016) Improving image encryption using two-dimensional logistic map and AES. In: 2016 International Conference on Communication and Signal Processing (ICCSP). IEEE, pp 0177-0180
- Ahmed BA, Abd SB, Hamida A (2012) A novel image encryption using an integration technique of blocks rotation based on the magic cube and the AES algorithm. IJCSI 9(4):41-47
- Iyer SC, Sedamkar RR, Gupta S (2016) A novel idea on multimedia encryption using hybrid crypto approach. Proc Comput Sci 1(79):293-298
- Shtewi AA, Hasan BE, Hegazy AE (2010) An efficient modified advanced encryption standard (MAES) adapted for image cryptosystems. IJCSNS Int J Comput Sci Netw Secur 10(2):226-232
- Borujeni SE, Eshghi M (2013) Chaotic image encryption system using phase-magnitude transfor- mation and pixel substitution. Telecommun Syst 52(2):525-537
- Zhu C (2012) A novel image encryption scheme based on improved hyperchaotic sequences. Opt Commun 285(1):29-37
Cited by
Sorted by citations
A Blockchain-Based Secure Image Encryption Scheme for the Industrial Internet of Things
Khan, P. W., & Byun, Y. (2020) · Entropy · doi:10.3390/e22020175 · Cited by 137 · see citing works
A Bijective Image Encryption System Based on Hybrid Chaotic Map Diffusion and DNA Confusion
ElKamchouchi, D. H., Mohamed, H. G., & Moussa, K. H. (2020) · Entropy · doi:10.3390/e22020180 · Cited by 63 · see citing works
“Algorithms UACI (%) UACI Critical Values * 0.05U +33.2824% −33.6447% * 0.01U +33.2255% −33.7016% * 0.001U +33.1594% −33.7677% Proposed 33.4205 Successful Successful Successful CCAES [41] 33.4767 Successful Successful Successful CDCP [42] 33.5752 Successful Successful Successful CHC [43] 33.4263 Successful Successful S…”
MethodInfluentialSecure Image Encryption Using Chaotic, Hybrid Chaotic and Block Cipher Approach
Chaudhary, N., Shahi, T. B., & Neupane, A. (2022) · Journal of Imaging · doi:10.3390/jimaging8060167 · Cited by 56 · see citing works
Hazzazi, M. M., Rehman, M. U., Shafique, A., Aljaedi, A., Bassfar, Z., & Usman, A. B. (2024) · Scientific Reports · doi:10.1038/s41598-024-62260-3 · Cited by 25 · see citing works
A novel single kernel parallel image encryption scheme based on a chaotic map
Bezerra, J. I. M., Molter, A., Machado, G., Soares, R. I., & Camargo, V. V. D. A. (2024) · Journal of Real-Time Image Processing · doi:10.1007/s11554-024-01506-9 · Cited by 10 · see citing works
A Novel Single Kernel Parallel Image Encryption Scheme Based on a Chaotic Map
Moreira Bezerra, J., Machado, G., Molter, A., Soares, R., & Camargo, V. (2023) · doi:10.2139/ssrn.4598075
A novel single kernel parallel image encryption scheme based on a chaotic map
Bezerra, J. I. M., Camargo, V. V. D. A., Soares, R. I., Molter, A., & Machado, G. (2024) · doi:10.21203/rs.3.rs-4208203/v1
- Authors
- Arab, A., Rostami, M. J., & Ghavami, B.
- Affiliations
- Shahid Bahonar University of Kerman (IR)
- Corresponding author
- Arab, Alireza
- Venue
- The Journal of Supercomputing
- Published
- 2019-05-10
- Volume
- 75
- Issue
- 10
- Pages
- 6663-6682
- ISSN
- 0920-8542 (ISSN-L)
- 1573-0484
- OpenAlex
- W2944785541
- Cited by
- 226
- References
- 1
- Citations by year
- 2026: 16 · 2025: 28 · 2024: 35 · 2023: 44 · 2022: 46 · 2021: 34 · 2020: 21 · 2019: 2
- FWCI
- 11.53
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- The Journal of Supercomputing (publishedVersion, cc-by)
- 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 › Artificial Intelligence › Cryptographic Implementations and Security
- Keywords
- image encryption, chaos-based cryptography, Arnold map, chaos sequence, modified AES, round key generation, key space, differential attack resistance, statistical attack resistance, entropy analysis, key sensitivity, diffusion
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