Araştırma Makalesi

Data Hiding Based on Frequency Domain Image Steganography

Sayı: 42 31 Ekim 2022
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Data Hiding Based on Frequency Domain Image Steganography

Abstract

The rapid development in the field of communication and technology has led to a heavy increase in the data produced in digital environment, and the need to take various active security measures has arisen in the case of robust secured data and end-to-end transmission. In line with this need, widely used methods developed are Cryptography which scrambles the data to secure the information, and Steganography techniques aiming to conceal data in digital objects so third parties cannot detect the transmitted content. Image steganography techniques can be divided into two groups: spatial domain and transform domain. Spatial domain techniques embed messages directly in the intensity of the pixels, while the transform domains also known as frequency domain images are first transformed and then the message is embedded in the image. Many practices have been offered and developed in the literature to provide secure transmission of the data. In this paper, data-hiding techniques based on frequency domain image steganography has proposed. Among these techniques, the working principle of DFT has been explained, DCT and DWT techniques performed to embed and extract secret data. As a result of the proposed methods, it has been achieved to obtain the maximum data embedding capacity inthe cover image by minimizing the distortion in the stego image. It has been observed that the size and quality of the JPEG stego images have been obtained without deterioration after the data is hidden. The experimental results show successful extraction of the accurate secret message. Some good PSNR of ≈50 dB and SSIM results of the proposed methods can represent successful restoration for the same image.

Keywords

Kaynakça

  1. Sahu, A. K., & Sahu, M. (2020). Digital image steganography and steganalysis: A journey of the past three decades. Open Computer Science, 10(1), 296-342».
  2. Johnson, N. F., & Jajodia, S. (1998). Exploring steganography: Seeing the unseen. Computer, 31(2), 26-34».
  3. Cox, I., Miller, M., Bloom, J., Fridrich, J., & Kalker, T. (2007). Digital watermarking and steganography. Morgan kaufmann».
  4. Hussain, M., Wahab, A. W. A., Idris, Y. I. B., Ho, A. T., & Jung, K. H. (2018). Image steganography in spatial domain: A survey. Signal Processing: Image Communication, 65, 46-66».
  5. SOLAK, S., & ALTINIŞIK, U. (2021). Image Steganography-Based GUI Design to Hide Agricultural Data. Gazi University Journal of Science, 34(3), 748-763».
  6. Sahu, A. K., & Swain, G. (2019). A novel multi stego-image based data hiding method for gray scale image. Pertanika Journal of Science & Technology, 27(2), 753-768». Solak, S., "High Embedding Capacity Data Hiding Technique Based on EMSD and LSB Substitution Algorithms," in IEEE Access, vol. 8, pp. 166513-166524, 2020, doi: 10.1109/ACCESS.2020.3023197».
  7. Mandal, P. C., Mukherjee, I., Paul, G., & Chatterji, B. N. (2022). Digital Image Steganography: A Literature Survey. Information Sciences».
  8. Uzun, M., Solak, S. (2022), GÖRÜNTÜ STEGANOGRAFİSİNDE YAYGIN KULLANILAN VERİ GİZLEME TEKNİKLERİNİN İNCELENMESİ. Mühendislik Bilimleri ve Tasarım Dergisi, 10(3), 816-830».

Ayrıntılar

Birincil Dil

İngilizce

Konular

Mühendislik

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

31 Ekim 2022

Gönderilme Tarihi

13 Ekim 2022

Kabul Tarihi

25 Ekim 2022

Yayımlandığı Sayı

Yıl 2022 Sayı: 42

Kaynak Göster

APA
Mohamed Abdirashid, A., Solak, S., & Sahu, A. K. (2022). Data Hiding Based on Frequency Domain Image Steganography. Avrupa Bilim ve Teknoloji Dergisi, 42, 71-76. https://doi.org/10.31590/ejosat.1188597