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Cited by 265

The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.

Cryptosystems with discretized chaotic maps

Masuda, N., Aihara, K.·2002·IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications

Abstract

Many kinds of chaotic cryptosystems have been proposed. Chaotic systems dissipate information due to orbital instability with positive Lyapunov exponents and ergodicity. If these properties are appropriately utilized, chaotic cryptosystems are supposed to realize high security. However, most of the existing secure communication techniques using chaos do not have enough security. For example, secure communication protocols based on chaos synchronization require robustness which gives useful information to attackers. The cryptosystems based on direct applications of chaotic maps have been weak against linear and differential cryptoanalysis. In this paper, a new kind of chaotic cryptosystem which overcomes these difficulties to some extent is proposed. The cryptosystem is based on a discretization of the skew tent map. We also show some of the desirable properties of the proposed cryptosystem using dynamical characteristics. These properties regarding ciphertext randomness may be closely related to the cryptological security. Our new cryptosystem uses one step to connect the theory of commonly used cryptosystems and dynamical system theory.

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Metadata

Authors
Masuda, N., & Aihara, K.
Venue
IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications
Published
2002
Volume
49
Issue
1
Pages
28-40
ISSN
1057-7122 (ISSN-L)
OpenAlex
W2166934960
Cited by
265
References
27
FWCI
11.23
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Cryptosystems with discretized chaotic maps. https://app.cochat.ai/papers/10.1109/81.974872
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Masuda, N., & Aihara, K. (2002). Cryptosystems with discretized chaotic maps. IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications. https://doi.org/10.1109/81.974872

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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.