A Secure Image Steganography Method Based on Neural Network

Abstract

Steganography is the term used to describe the hiding of data in images to avoid detection by attackers. Steganalysis is the method used by attackers to determine if images have hidden data and to recover that data. By matching data to an image, there is less chance of an attacker being able to use steganalysis to recover the data. Before hiding the data in an image the application first encrypts it. The proposed method of steganography in this work encodes the secret message in least significant bits of the original image using DWT method, where the pixels values of the encrypted image are modified by the genetic algorithm (GA) and neural network (NN) to retain their statistic characters, thereby making the detection of secret of message difficult. The whole implementation is done in MATLAB using MSE, Time and PSNR parameters.

Authors and Affiliations

Jasmeen Kaur Pandher , Kamalpreet kaur

Keywords

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  • EP ID EP118120
  • DOI -
  • Views 126
  • Downloads 0

How To Cite

Jasmeen Kaur Pandher, Kamalpreet kaur (2016). A Secure Image Steganography Method Based on Neural Network. International Journal of Computer Science & Engineering Technology, 7(6), 285-291. https://europub.co.uk./articles/-A-118120