Stream Cipher Method Based on Neural Network

DOI

10.2991/citcs.2012.165How to use a DOI?

Keywords

neural network; stream cipher; LFSR

Abstract

A new stream cipher algorithm based on one-way function of neural network is proposed. The nonlinear system comprised of such neural network is used to transform a group of LFSRs for key stream generation. As a result, the complexity of sequences is increased with period expanding. The produced cipher sequence has high randomness and has passed the standard tests of SP800-22. The experimental results show that the proposed encryption method is safe and has a higher performance of encryption and decryption speed by parallel computation structure. It can meet the need of stream cipher technology. The work has some values for deeper research on its theory and hardware application on secret communication. It is expected to attract more researchers in this field.

Copyright

© 2012, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Haiyan Long
PY  - 2012/11
DA  - 2012/11
TI  - Stream Cipher Method Based on Neural Network
BT  - Proceedings of the 2012 National Conference on Information Technology and Computer Science
PB  - Atlantis Press
SP  - 644
EP  - 647
SN  - 1951-6851
UR  - https://doi.org/10.2991/citcs.2012.165
DO  - 10.2991/citcs.2012.165
ID  - Long2012/11
ER  -