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Steganalysis Method of Static JPEG Images Based on Artificial Immune System

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Abstract

This work aims to develop the heuristic steganalysis method of static JPEG images, based on the usage of artificial immune systems that allows detecting the presence of hidden information in them with good results on image processing time. A formal description of the artificial immune system’s primary nodes and an analysis of the obtained experimental results are presented. The proposed method allows detecting the presence of hidden information embedded by various popular steganography tools (like OutGuess, Steghide, and F5) in static JPEG images with sufficiently high accuracy.

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Authors and Affiliations

  1. Department of Applied Mathematics and Computer Security, Siberian Federal University, 660041, Krasnoyarsk, Russia

    A. N. Shniperov & A. V. Prokofieva

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  1. A. N. Shniperov
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  2. A. V. Prokofieva
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Correspondence to A. N. Shniperov or A. V. Prokofieva.

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Shniperov, A.N., Prokofieva, A.V. Steganalysis Method of Static JPEG Images Based on Artificial Immune System. Aut. Control Comp. Sci. 54, 423–431 (2020). https://doi.org/10.3103/S0146411620050077

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  • DOI: https://doi.org/10.3103/S0146411620050077

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