A Study in Image Watermarking Schemes using Neural Networks

The digital watermarking technique, an effective way to protect image, has become the research focus on neural network. The purpose of this paper is to provide a brief study on broad theories and discuss the different types of neural networks for image watermarking. Most of the research interest image watermarking based on neural network in discrete wavelet transform or discrete cosine transform. Generally image watermarking based on neural network to solve the problem on to reduce the error, improve the rate of the learning, achieves goods imperceptibility and robustness. It will be useful for researches to implement effective image watermarking by using neural network

A provably secure really source hiding designated verifier signature scheme based on random oracle model

A lot of designated verifier signature (DVS) schemes have been proposed. However, all of them only provide the basic security requirement that only the designated verifier can check the validity of the signature. They are either not secure enough or lacking source hiding. Hence, in this article, we design a provably secure DVS scheme. It not only can attain the basic security requirement but also hide the original signer’s identity which makes our scheme more suitable for the applications in an electronic voting system