Visible to the public Biblio

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2020-02-10
Zubov, Ilya G., Lysenko, Nikolai V., Labkov, Gleb M..  2019.  Detection of the Information Hidden in Image by Convolutional Neural Networks. 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus). :393–394.

This article shows the possibility of detection of the hidden information in images. This is the approach to steganalysis than the basic data about the image and the information about the hiding method of the information are unknown. The architecture of the convolutional neural network makes it possible to detect small changes in the image with high probability.

2017-11-13
Sharma, P., Patel, D., Shah, D., Shukal, D..  2016.  Image security using Arnold method in tetrolet domain. 2016 Fourth International Conference on Parallel, Distributed and Grid Computing (PDGC). :312–315.

The image contains a lot of visual as well as hidden information. Both, information must be secured at the time of transmission. With this motivation, a scheme is proposed based on encryption in tetrolet domain. For encryption, an iterative based Arnold transform is used in proposed methodology. The images are highly textured, which contains the authenticity of the image. For that, decryption process is performed in this way so that maximum, the edges and textures should be recovered, effectively. The suggested method has been tested on standard images and results obtained after applying suggested method are significant. A comparison is also performed with some standard existing methods to measure the effectiveness of the suggested method.