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Simulation modelling of artificial neural networks for the purpose of steganalysis

2022, vol.14 , no.2, pp. 99-110

Article [2022-02-09]

Authors
Yoana Ivanova
Abstract

This paper is considered to be a continuation of previous publications devoted to applications of simulation modelling in cybersecurity and in particular the use of Artificial Neural Networks (ANNs) with Backpropagation of Error for digital recognition (IJITS, No4,2021). It aims to present advanced steganographic methods that are applicable for the purposes of steganalysis to ensure the information protection. The empirical study and the experimental analysis made contribute to explaining various steganographic approaches that are applicable in security.

Keywords

steganography, steganalysis, histogram equalization, LSB, Virtual Steganographic Laboratory, Artificial Neural Networks

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Citation of this article:

Yoana Ivanova. Simulation modelling of artificial neural networks for the purpose of steganalysis. International Journal on Information Technologies and Security, vol.14 , no.2, 2022, pp. 99-110.