Title: Steganography content detection by means of feedforward neural network

Authors: Zuzana Komínková Oplatková; Jiří Hološka; Roman Šenkeřík

Addresses: Faculty of Applied Informatics, Tomas Bata University, Nam. T.G. Masaryka 5555, 760 01, Zlín, Czech Republic ' Faculty of Applied Informatics, Tomas Bata University, Nam. T.G. Masaryka 5555, 760 01, Zlín, Czech Republic ' Faculty of Applied Informatics, Tomas Bata University, Nam. T.G. Masaryka 5555, 760 01, Zlín, Czech Republic

Abstract: This paper describes the technique for revealing of steganography content in images by means of feedforward neural network. The work is connected with cryptography for information encoding and additional method for information hiding, which is called steganography. The substance of the paper explains the principle of hidden information detection in images like JPEG format by means of feedforward neural network. The results show successful detection of four stego techniques by means of artificial neural network with one hidden layer.

Keywords: artificial neural networks; ANNs; steganography content detection; steganalysis; cryptography; information encoding; information hiding; images; JPEG format.

DOI: 10.1504/IJICA.2013.055932

International Journal of Innovative Computing and Applications, 2013 Vol.5 No.3, pp.184 - 190

Available online: 16 Aug 2013

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