A Verifiable Visual Cryptography Scheme Using Neural Networks
Yuqiao Deng, Ge Song
Available Online May 2014.
- 10.2991/iccia.2012.27How to use a DOI?
- Pi-sigma neural networks, visual cryptography, general access structure
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.
- © 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/).
Cite this article
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 -