A Formal Verification Based on Yu-Cao Delayed Chaotic Neural Network-Reference-Cited by-同舟云学术

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

Published:2022-03-28 Issue: Volume:16 Page:899-903
ISSN:1998-4464
Container-title:International Journal of Circuits, Systems and Signal Processing
language:en
Short-container-title:

Author:

Huang Chi¹,Liu Chenglian¹,Cai Yueyang²,Chen Sonia C-I²,Ji Xiaofei³

Affiliation:

1. Department of Science and Engineering, Shiyuan College of Nanning Normal University, Nanning 530226, China

2. School of Economics, Qingdao University, Qingdao 266061, China

3. School of Computer Science and Technology, Qingdao University, Qingdao 266071, China

Abstract

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.

Publisher

North Atlantic University Union (NAUN)

Subject

Electrical and Electronic Engineering,Signal Processing

Reference20 articles.

1. X. Wang and J. Zhao, “An improved key agreement protocol based on chaos,” Communications in Nonlinear Science and Numerical Simulation, vol. 15, no. 12, pp. 4052–4057, 2010.

2. W. Yu and J. Cao, “Cryptography based on delayed chaotic neural networks,” Physics Letters A, vol. 356, no. 4, pp. 333– 338, 2006.

3. J. Yang, X. Liao, W. Yu, K. wo Wong, and J. Wei, “Cryptanalysis of a cryptographic scheme based on delayed chaotic neural networks,” Chaos, Solitons and Fractals, vol. 40, no. 2, pp. 821–825, 2009.

4. C. Liu, S. Chen, and S. Sun, “Security of analysis mutual authentication and key exchange for low power wireless communications,” Energy Procedia, vol. 17, pp. 644–649, 2012.

5. X. Ye, X. Ye, and R. Wu, “Security analysis of Yu-Cao neural networks scheme,” in AIP Conference Proceedings, vol. 2040, 2018, pp. 1 300 061–1 300 065.