A neural-network approach for visual cryptography and authorization

Authors:
Tai-Wen Yue;Suchen Chiang
Affiliations:
Computer Science and Engineering, Tatung University, Taiwan;Computer Science and Engineering, Tatung University, Taiwan
Venue:
Design and application of hybrid intelligent systems
Year:
2003

Citing 4
Cited 0

Visual cryptography for general access structures

Information and Computation
Constructions and Properties of k out of nVisual Secret Sharing Schemes

Designs, Codes and Cryptography
Visual Authentication and Identification

CRYPTO '97 Proceedings of the 17th Annual International Cryptology Conference on Advances in Cryptology
The General Neural-Network Paradigm for Visual Cryptography

IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Connectionist Models of Neurons, Learning Processes and Artificial Intelligence-Part I

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we propose a neural-network approach for visual authorization It is an application on visual cryptography. The scheme contains a key-share and a set of user-shares. The administrator owns the key-share, and each user owns a user-share issued by the administrator from the usershare set. The shares in the user share set are visually indistinguishable, i.e., they halve the same pictorial meaning. However, the stacking of the key-share with different user-shares will reveal significantly different images. Therefore, the administrator (in fact, only the administrator) can visually recognize the authority assigned to a particular user by viewing the information appearing in the superposed image of key-share and user-share.