A block cipher based on chaotic neural networks
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Claims the paper makes
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
Shiguo Lian [124] was the first to propose a block-cipher-based encryption algorithm with a CNN.
“Shiguo Lian [124] was the first to propose a block-cipher-based encryption algorithm with a CNN.”
From Chaos-Based Image Encryption: Review, Application, and Challenges (2023) · cites this paper as [124]
The structure of [124] has great security in computing but may be vulnerable to attack because of its constant weight and bias matrices.
“This structure has great security in computing but it may be vulnerable to attack because of its constant weight and bias matrices.”
From Chaos-Based Image Encryption: Review, Application, and Challenges (2023) · cites this paper as [124]
Cites
Communication Theory of Secrecy Systems
Shannon, C. E. (1949) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1949.tb00928.x · Cited by 9,440 · see citing works
Flagged first, then by citations
Cited by
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Chaos-Based Image Encryption: Review, Application, and Challenges
Zhang, B., & Liu, L. (2023) · Mathematics · doi:10.3390/math11112585 · Cited by 328 · see citing works
“Lian [124] was the first to propose a block-cipher-based encryption with a CNN.”
BackgroundMethodInfluentialA novel image encryption/decryption scheme based on chaotic neural networks
Bigdeli, N., Farid, Y., & Afshar, K. (2012) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2012.01.007 · Cited by 88 · see citing works
- Authors
- Lian, S.
- Affiliations
- Orange (France) (FR)
- Corresponding author
- Lian, Shiguo
- ORCID
- Lian, Shiguo
- Venue
- Neurocomputing
- Publisher
- Elsevier BV
- Published
- 2009-01
- Volume
- 72
- Issue
- 4-6
- Pages
- 1296-1301
- ISSN
- 0925-2312 (ISSN-L)
- OpenAlex
- W1520311163
- Cited by
- 101
- References
- 1
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 2 · 2023: 1 · 2022: 2 · 2021: 6 · 2020: 3 · 2019: 12 · 2018: 7 · 2017: 7 · 2016: 9 · 2015: 12 · 2014: 5 · 2013: 5 · 2012: 12
- FWCI
- 7.19
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Neurocomputing (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 › Computational Theory and Mathematics › Cellular Automata and Applications
- Keywords
- block cipher, chaotic neural networks, data diffusion, image encryption, symmetric encryption, key control, encryption security
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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.
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