Fast encryption of image data using chaotic Kolmogorov flows
Abstract
To guarantee security and privacy in image and video archival applications, efficient bulk encryption techniques are necessary which are easily implementable in soft- and hardware and are able to cope with the vast amounts of data involved. Experience has shown that block-oriented symmetric product ciphers constitute an adequate design paradigm for resolving this task, since they can offer a very high level of security as well as very high encryption rates. In this contribution we introduce a new product cipher which encrypts large blocks of plaintext by repeated intertwined application of substitution and permutation operations. While almost all of the current product ciphers use fixed (predefined) permutation operations on small data blocks, our approach involves parametrizable (keyed) permutations on large data blocks (whole images) induced by specific chaotic systems (Kolmogorov flows). By combining these highly unstable dynamics with an adaption of a very fast shift register based pseudo-random number generator, we obtain a new class of computationally secure product ciphers which offer many features that make them superior to contemporary bulk encryption systems when aiming at efficient image and video data encryption.
Integrity signals
Registry
Cites
Statistics
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?
A scheme involving parametrizable permutations on large data blocks (whole images) induced by Kolmogorov flows was presented by Josef Scharinger.
“Instead of the usual operation on small data blocks, a scheme involving parametrizable permutations on large data blocks (whole images) induced by Kolmogorov flows was presented by Josef Scharinger [27].”
From Chaos-Based Image Encryption: Review, Application, and Challenges (2023) · cites this paper as [27]
Cited by
Sorted by citations
A symmetric image encryption scheme based on 3D chaotic cat maps
Chen, G., Mao, Y., & Chui, C. K. (2004) · Chaos, Solitons & Fractals · doi:10.1016/j.chaos.2003.12.022 · Cited by 2,092 · see citing works
Image encryption using chaotic logistic map
Pareek, N. K., Patidar, V., & Sud, K. K. (2006) · Image and Vision Computing · doi:10.1016/j.imavis.2006.02.021 · Cited by 1,261 · see citing works
A NOVEL FAST IMAGE ENCRYPTION SCHEME BASED ON 3D CHAOTIC BAKER MAPS
MAO, Y., CHEN, G., & LIAN, S. (2004) · International Journal of Bifurcation and Chaos · doi:10.1142/s021812740401151x · Cited by 611 · see citing works
Chaos-Based Image Encryption: Review, Application, and Challenges
Zhang, B., & Liu, L. (2023) · Mathematics · doi:10.3390/math11112585 · Cited by 328 · see citing works
Li, S., Li, C., Chen, G., Bourbakis, N. G., & Lo, K.-T. (2008) · Signal Processing: Image Communication · doi:10.1016/j.image.2008.01.003 · Cited by 324 · see citing works
Parallel image encryption algorithm based on discretized chaotic map
Zhou, Q., Wong, K.-W., Liao, X., Xiang, T., & Hu, Y. (2008) · Chaos, Solitons & Fractals · doi:10.1016/j.chaos.2007.01.034 · Cited by 103 · see citing works
A new compound mode of confusion and diffusion for block encryption of image based on chaos
Wang, X.-Y., Chen, F., & Wang, T. (2010) · Communications in Nonlinear Science and Numerical Simulation · doi:10.1016/j.cnsns.2009.10.001 · Cited by 105 · see citing works
Image Encryption Method Based on Chaotic Map
Wang, Y., Ren, G., Jiang, J., Zhang, J., & Sun, L. (2007) · 2007 2nd IEEE Conference on Industrial Electronics and Applications · doi:10.1109/iciea.2007.4318874 · Cited by 28 · see citing works
The Application of Chaotic Maps in Image-Encryption
Zou, J., Xiong, C., Qi, D., & Ward, R. K. (2005) · The 3rd International IEEE-NEWCAS Conference, 2005. · doi:10.1109/newcas.2005.1496703 · Cited by 14 · see citing works
- Authors
- Scharinger, J.
- Affiliations
- Johannes Kepler University of Linz (AT)
- Corresponding author
- Scharinger, Josef
- ORCID
- Scharinger, Josef
- Venue
- Journal of Electronic Imaging
- Publisher
- SPIE-Intl Soc Optical Eng
- Published
- 1998-04-01
- Volume
- 7
- Issue
- 02
- Pages
- 318-325
- ISSN
- 1017-9909 (ISSN-L)
- 1560-229X
- OpenAlex
- W2088694610
- Cited by
- 186
- References
- 0
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 1 · 2023: 3 · 2022: 1 · 2021: 5 · 2020: 3 · 2019: 2 · 2018: 10 · 2017: 9 · 2016: 3 · 2015: 7 · 2014: 9 · 2013: 13 · 2012: 7
- FWCI
- 1.56
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Electronic Imaging (publishedVersion)
- 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, chaotic maps, Kolmogorov flow, fast encryption, image security
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