Simulation of Steganalysis using CNN

November 2022
Vol-8, Issue-6
Paper ID: 18545
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Science and Engineering
Keywords
Image Steganography Steganalysis Least Significant Bits (LSB) Convolutional Neural Network (CNN) Generative Adversarial Network (GAN).
Abstract
Steganography is a technique of data hiding that embeds the secret message inside a digital media for providing a method of invisible communication. Different kinds of digital file formats can be used for steganography of which digital images are the most popular as it is present in a massive number in the internet. There exists a large variety of steganographic techniques, for hiding secret information in image. Several efforts are made to establish ways of detecting whether or not an image contains a steganographic element. Steganalysis is the technique of detecting the presence of steganography that can serve as an effective way to judge the security performance of steganographic techniques. In this paper, we provide an overview of digital image Steganalysis technique for detecting steganographic method and identify the area to look out for the hidden information. These techniques are discussed and analyzed in terms of their ability to detect secret message in an image file. We have also reviewed some researches on steganography. The main aim of this paper is to review the previous work done and available ways, present trends and discuss the challenges that are currently available in the studies. Along with these, the datasets that are commonly used and publicly available, the evaluation metrics considered are also discussed. Finally, a comparison on the performance among the methods and a possible discussion identifying the gaps in the present studies, pros and cons of the methods are elaborated.

Author Information

# Name Institute / Affiliation
1 Mohammad Kaif Khan Institute of Technology and Management, GIDA, Gorakhpur.
2 Shivani Singh Institute of Technology and Management, GIDA, Gorakhpur.
3 Manushree Joshi Institute of Technology and Management, GIDA, Gorakhpur.
4 Yash Sahni Institute of Technology and Management, GIDA, Gorakhpur.

How to Cite

Use the following formats to cite this article in your research.

APA Style
Khan, Mohammad Kaif , Singh, Shivani, Joshi, Manushree, & Sahni, Yash (2022). Simulation of Steganalysis using CNN. International Journal of Advance Research and Innovative Ideas In Education, 8(6), 144-149.
MLA Style
Khan, Mohammad Kaif , et al. "Simulation of Steganalysis using CNN." International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 6, 2022, pp. 144-149.
IEEE Style
Mohammad Kaif Khan, Shivani Singh, Manushree Joshi, and Yash Sahni, "Simulation of Steganalysis using CNN," International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 6, pp. 144-149, 2022.
Vancouver Style
Khan Mohammad Kaif , Singh Shivani, Joshi Manushree, Sahni Yash. Simulation of Steganalysis using CNN. International Journal of Advance Research and Innovative Ideas In Education. 2022;8(6):144-149.
Harvard Style
Khan, Mohammad Kaif , Singh, Shivani, Joshi, Manushree, & Sahni, Yash (2022) 'Simulation of Steganalysis using CNN', International Journal of Advance Research and Innovative Ideas In Education, 8(6), pp. 144-149.
Chicago Style
Khan, Mohammad Kaif , et al. "Simulation of Steganalysis using CNN." International Journal of Advance Research and Innovative Ideas In Education 8, no. 6 (2022): 144-149.
Turabian Style
Khan, Mohammad Kaif , et al. "Simulation of Steganalysis using CNN." International Journal of Advance Research and Innovative Ideas In Education 8, no. 6 (2022): 144-149.

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