A neural network approach for visual cryptography

A neural network approach for visual cryptography
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视觉密码学的神经网络方法

DOI：
10.1109/ijcnn.2000.861518
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发表时间：
2000
期刊：
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium
影响因子：
--
通讯作者：
Suchen Chiang
Suchen Chiang
中科院分区：
--
文献类型：
--
作者：
T. Yue;Suchen Chiang

文献摘要

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Visual Gryptography在加密字段中找到了许多应用，例如密钥管理，消息隐藏，授权，身份验证，身份证明和娱乐。作者提出了一种使用神经网络（NNS）的新型视觉加密方法。要执行加密，NN的输入是一组灰色级别的图像，输出是一组二进制图像（共享），可满足所需的访问方案。这种方法与传统的方法有很大不同，并且可以应用于应对非常复杂的访问方案。
Visual cryptography finds many applications in the cryptographic field such as key management, message concealment, authorization, authentication, identification, and entertainment. The authors propose a novel approach for visual cryptography using neural networks (NNs). To perform encrypting, the input to the NN is a set of gray level images, and the output is a set of binary images (shares) that fulfils the desirable access scheme. This approach is considerably different from the traditional one, and can be applied to cope with very complex access schemes.