A Formal Verification Based on Yu-Cao Delayed Chaotic Neural Network Article Swipe

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Chi Huang , Chenglian Liu , Yueyang Cai , Sonia C-I Chen , Xiaofei Ji ·

YOU? · · 2022 · Open Access · · DOI: https://doi.org/10.46300/9106.2022.16.111

Yu and Cao proposed “Cryptography based on delayed chaotic neural networks” in 2006. However, in 2009, Yang et al. pointed out the Yu-Cao scheme can not against chosen plaintext attack. Liu et al. studies exclusiveor logical operation very well, and provided Boolean algebra proofs in 2012. Ye et al. used Liu et al.’s method to reinterpret and analyze Yu-Cao scheme in 2018. In this paper the authors would like to give a formal verification by Galois field expression on the exclusive-or operation problem again. As this result, it makes more effective insecure to Yu-Cao algorithm.

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Mathematical Proof

Cryptography

Computer Science

Theoretical Computer Science

Algorithm

Mathematics

Discrete Mathematics

Artificial Intelligence

Computer Security

Mathematical Analysis

Geometry

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Plaintext Mathematical proof Cryptography Artificial neural network Chaotic Computer science Scheme (mathematics) Theoretical computer science Field (mathematics) Algorithm Mathematics Discrete mathematics Encryption Artificial intelligence Pure mathematics Computer security Mathematical analysis Geometry

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Type: article
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Landing Page: https://doi.org/10.46300/9106.2022.16.111
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DOI: https://doi.org/10.46300/9106.2022.16.111

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Title: A Formal Verification Based on Yu-Cao Delayed Chaotic Neural Network

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Publication year: 2022

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Authors: Chi Huang, Chenglian Liu, Yueyang Cai, Sonia C-I Chen, Xiaofei Ji

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Concepts: Plaintext, Mathematical proof, Cryptography, Artificial neural network, Chaotic, Computer science, Scheme (mathematics), Theoretical computer science, Field (mathematics), Algorithm, Mathematics, Discrete mathematics, Encryption, Artificial intelligence, Pure mathematics, Computer security, Mathematical analysis, Geometry

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