The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Cryptanalysis of Novel Image Encryption Scheme Based on Multiple Chaotic Substitution Boxes
Open accessAbstract
In current years many chaos-based Substitution boxes (S-boxes) have been proposed. Recently, an image encryption technique based on multiple chaotic S-box was offered. This encryption method was based on the concept of confusion only produced by the implementation of the S-box. The concept of confusion utilized in the understudy technique can be smashed by using just one chosen-plaintext attack and a chosen-ciphertext attack. This article presents a detailed structure of two types of cryptographic attacks on the diffusion-based encryption scheme. The proposed attacks are successfully performed to retrieve the key with very little execution time by using just one chosen image which indicates the vulnerability of multiple chaotic S-boxes-based cryptosystems. The retrieved data is passed through some statistical analysis such as correlation, histogram, and entropy to check the correctness of recovered data.
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“The simultaneous permutation-diffusion approach presents no security risk to the cipher”
From A novel single kernel parallel image encryption scheme based on a chaotic map (2024) · cites this paper as [3]
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“the most substantial security threat to chaotic encryption algorithms is the nondependence between the original image and the chaotic values making the cipher prone to chosen plain-text attacks [3, 11, 28].”
From A novel single kernel parallel image encryption scheme based on a chaotic map (2024) · cites this paper as [3]
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Cited by
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
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
Metadata
- Authors
- Alanazi, A. S., Munir, N., Khan, M., Asif, M., & Hussain, I.
- Affiliations
- King Abdulaziz City for Science and Technology (SA)
- Institute of Space Technology (PK)
- University of Management and Technology (PK)
- Qatar University (QA)
- Venue
- IEEE Access
- Published
- 2021
- Volume
- 9
- Pages
- 93795-93802
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W3176949319
- Cited by
- 50
- References
- 4
- Citations by year
- 2026: 2 · 2025: 7 · 2024: 14 · 2023: 12 · 2022: 11 · 2021: 4
- FWCI
- 3.69
- 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)
- Qatar University QSpace (Qatar University) (submittedVersion)
- Funders
- King Abdulaziz City for Science and Technology
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Chaos-based Image/Signal Encryption
- Physical Sciences › Computer Science › Artificial Intelligence › Cryptographic Implementations and Security
- Physical Sciences › Computer Science › Artificial Intelligence › Computer Science and Engineering
- Keywords
- image encryption, cryptanalysis, confusion, chosen-plaintext attack, chosen ciphertext attack, key recovery
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- Alanazi, A. S., Munir, N., Khan, M., Asif, M., & Hussain, I. (2021). Cryptanalysis of Novel Image Encryption Scheme Based on Multiple Chaotic Substitution Boxes. IEEE Access. https://doi.org/10.1109/access.2021.3092512
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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.
