A Verifiable Visual Cryptography Scheme Using Neural Networks

DOI

10.2991/iccia.2012.27How to use a DOI?

Keywords

Pi-sigma neural networks, visual cryptography, general access structure

Abstract

This paper proposes a new verifiable visual cryptography scheme for general access structures using pi-sigma neural networks (VVCSPSN), which is based on probabilistic signature scheme (PSS), which is considered as security and effective verification method. Compared to other high-order networks, PSN has a highly regular structure, needs a much smaller number of weights and less training time. Using PSN’s capability of large-scale parallel classification, VCSPSN reduces the information communication rate greatly, makes best known upper bound polynomial, and distinguishes the deferent information in secret image.

Copyright

© 2013, 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/).

Download article (PDF)

TY  - CONF
AU  - Yuqiao Deng
AU  - Ge Song
PY  - 2014/05
DA  - 2014/05
TI  - A Verifiable Visual Cryptography Scheme Using Neural Networks
BT  - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
PB  - Atlantis Press
SP  - 113
EP  - 116
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccia.2012.27
DO  - 10.2991/iccia.2012.27
ID  - Deng2014/05
ER  -