A NEW PUBLIC-KEY ENCRYPTION SCHEME BASED ON NEURAL NETWORKS AND ITS SECURITY ANALYSIS

Niansheng Liu, Donghui Guo

2005

Abstract

A new public-key Encryption scheme based on chaotic attractors of neural networks is described in the paper. There is a one-way function relationship between the chaotic attractors and their initial states in an Overstoraged Hopfield Neural Networks (OHNN), and each attractor and its corresponding domain of attraction are changed with permutation operations on the neural synaptic matrix. If the neural synaptic matrix is changed by commutative random permutation matrix, we propose a new cryptography technique according to Diffie-Hellman public-key cryptosystem. By keeping the random permutation operation of the neural synaptic matrix as the secret key, and the neural synaptic matrix after permutation as public-key, we introduce a new encryption scheme for a public-key cryptosystem. Security of the new scheme is discussed.

Paper Citation

in Harvard Style

Liu N. and Guo D. (2005). A NEW PUBLIC-KEY ENCRYPTION SCHEME BASED ON NEURAL NETWORKS AND ITS SECURITY ANALYSIS . In Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 3: ICEIS, ISBN 972-8865-19-8, pages 425-428. DOI: 10.5220/0002545804250428

in Bibtex Style

@conference{iceis05,
author={Niansheng Liu and Donghui Guo},
title={A NEW PUBLIC-KEY ENCRYPTION SCHEME BASED ON NEURAL NETWORKS AND ITS SECURITY ANALYSIS},
booktitle={Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 3: ICEIS,},
year={2005},
pages={425-428},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002545804250428},
isbn={972-8865-19-8},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 3: ICEIS,
TI - A NEW PUBLIC-KEY ENCRYPTION SCHEME BASED ON NEURAL NETWORKS AND ITS SECURITY ANALYSIS
SN - 972-8865-19-8
AU - Liu N.
AU - Guo D.
PY - 2005
SP - 425
EP - 428
DO - 10.5220/0002545804250428