The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Block-Based Arnold Chaotic Map for Image Encryption
Abstract
This study proposes an encryption method in Arnold chaotic map based imagery. The uniqueness of the proposed method is to divide the image into smaller blocks, then each image is encrypted with the same chaotic map formula. Visually the results of image encryption are quite unique because they make the form of image encryption blocks that look different but actually have the same iteration. The chaotic map method is famous for its resistance to differential attacks. Therefore, the results of encryption from the proposed method need to be measured for performance against differential attacks. To measure the performance of the proposed method of measurement using measuring devices and UACI NPCR. Based on the results of the test we found a significant increase in the assessment of the UACI value but there was a decrease in the NPCR value. These results can be used as preliminary research for the development of methods in order to increase the value of UACI and NPCR at once.
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“It is worth noting that the proposed algorithm does not diffuse the pixel's values of the image, resulting in the cipher image having the same histogram information as the original plaintext image.”
From Image Encryption Algorithms: A Survey of Design and Evaluation Metrics (2024) · cites this paper as [13]
Citations
Cites
Generalized double-humped logistic map-based medical image encryption
Ismail, S. M., Said, L. A., Radwan, A. G., Madian, A. H., & Abu-ElYazeed, M. F. (2018) · Journal of Advanced Research · doi:10.1016/j.jare.2018.01.009 · Cited by 120
A novel parallel image encryption with chaotic windows based on logistic map
Rostami, M. J., Shahba, A., Saryazdi, S., & Nezamabadi–pour, H. (2017) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2017.04.004 · Cited by 87
Application of S -box and chaotic map for image encryption
Hussain, I., Shah, T., & Gondal, M. A. (2013) · Mathematical and Computer Modelling · doi:10.1016/j.mcm.2013.01.009 · Cited by 73
Image encryption using sequence generated by cyclic group
Kandar, S., Chaudhuri, D., Bhattacharjee, A., & Dhara, B. C. (2018) · Journal of Information Security and Applications · doi:10.1016/j.jisa.2018.12.003 · Cited by 71
Kusuma, E. J., Sari, C. A., Rachmawanto, E. H., et al. (2018) · Journal of ICT Research and Applications · doi:10.5614/itbj.ict.res.appl.2018.12.2.1 · Cited by 56
Self-citationDigital image signature using triple protection cryptosystem (RSA, Vigenere, and MD5)
Ardy, R. D., Indriani, O. R., Sari, C. A., et al. (2017) · International Conference on Smart Cities, Automation & Intelligent Computing Systems (ICON-SONICS) · doi:10.1109/icon-sonics.2017.8267827 · Cited by 44
Self-citationFast and efficient image watermarking algorithm using discrete tchebichef transform
Setiadi, D. R. I. M., Sutojo, T., Rachmawanto, E. H., et al. (2017) · International Conference on Cyber and IT Service Management (CITSM) · doi:10.1109/citsm.2017.8089229 · Cited by 36
Self-citationA Comparative Study of Image Cryptographic Method
Setiadi, D. R. I. M., Rachmawanto, E. H., Sari, C. A., et al. (2018) · International Conference on Information Technology, Computer, and Electrical Engineering · doi:10.1109/icitacee.2018.8576907 · Cited by 29
Self-citationBit allocation strategy based on Psychovisual threshold in image compression
Ernawan, F., Kabir, M. N., & Zain, J. M. (2017) · Multimedia Tools and Applications · doi:10.1007/s11042-017-4999-9 · Cited by 15
A secured cryptographic model using intertwining logistic map
Kumar, S., Kumar, M., Budhiraja, R., Das, M., & Singh, S. (2018) · Procedia Computer Science · doi:10.1016/j.procs.2018.10.386 · Cited by 13
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
“Rachmawanto et al. [13] proposed an encryption algorithm based on the Arnold map.”
Method
Metadata
- Authors
- Rachmawanto, E. H., De Rosal, I. M. S., Sari, C. A., Agus Santoso, H., Rafrastara, F. A., & Sugiarto, E.
- Affiliations
- Universitas Dian Nuswantoro (ID)
- Venue
- 2019 International Conference on Information and Communications Technology (ICOIACT)
- Publisher
- IEEE
- Published
- 2019-07
- Pages
- 174-178
- OpenAlex
- W2997759096
- Cited by
- 10
- References
- 11
- Citations by year
- 2025: 1 · 2024: 2 · 2023: 2 · 2021: 4 · 2020: 1
- FWCI
- 0.41
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- Locations
- International Conference on Information and Communications Technology (ICOIACT) (publishedVersion)
- 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, block cipher, chaotic maps, differential attack resistance, UACI, NPCR
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- CoChat. (2026). Citation check: Block-Based Arnold Chaotic Map for Image Encryption. https://app.cochat.ai/papers/10.1109/icoiact46704.2019.8938443
- The paper
- Rachmawanto, E. H., De Rosal, I. M. S., Sari, C. A., Agus Santoso, H., Rafrastara, F. A., & Sugiarto, E. (2019). Block-Based Arnold Chaotic Map for Image Encryption. 2019 International Conference on Information and Communications Technology (ICOIACT). https://doi.org/10.1109/icoiact46704.2019.8938443
