Steganography in Grey Scale Animated GIF using Hash based Pixel Value Differencing

Autor: Kousik Dasgupta, Ratan Kumar Basak, Paramartha Dutta
Rok vydání: 2018
Předmět:
Zdroj: 2018 Fourth International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN).
DOI: 10.1109/icrcicn.2018.8718708
Popis: In company with immense popularity of social network, modern business houses are using it extensively for branding and advertising of their products. One of the preferred media for the advertisement is the animated Graphics Interchanged Format (GIF). The advantage of using GIF is adding emotions in the advertisement which makes a direct impact on the consumers. A novel steganography scheme has been put forwarded here on GIF format for secure message passing. Pixel-Value-Differencing (PVD) has been one of the popular method for steganography implemented mostly on images and videos. In this work, a modified PVD based steganographic blueprint has been brought in where an animated Graphics Interchanged Format (GIF) file is considered as the cover media. Here, an extra hash function has been employed which estimates the number of bits, in contrast to the original PVD, to be concealed in a pair of pixel. The proposed improvement affords to embed an extensive volume of concealed information by maintaining the imperceptibility of human eye. Moreover, the proposed method guarantees more security compared to the original PVD method.
Databáze: OpenAIRE