Implementation of hidden communication channel in OSN with histogram analysis
| Autor: | Hristo Paraskevov, Aleksandar Stefanov |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Contextual image classification
Steganography Basis (linear algebra) business.industry Computer science Histogram ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition Data_CODINGANDINFORMATIONTHEORY Artificial intelligence business Selection (genetic algorithm) Communication channel |
| Zdroj: | THERMOPHYSICAL BASIS OF ENERGY TECHNOLOGIES (TBET 2020). |
| ISSN: | 0094-243X |
| DOI: | 10.1063/5.0041938 |
| Popis: | In this report we propose a new steganographic method that allows to be transmitted through social networks stego information. The basis of the method is pre-grouping and classifying a large number of graphical images based on the type of their histograms. By selecting of images with suitable histogram and placing them in the appropriate place in the series of the published album, the formation of the hidden message is achieved. Since no changes are made to the images, the resulting stego channel has a high level of undetectability. The results of the experiments show that the appropriate selection of image classification criteria achieves good resistance of stego channel regardless of the impact of social networks. The proposed method is suitable for transmitting crypto and stego keys. |
| Databáze: | OpenAIRE |
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