Araştırma Makalesi

Stereo Audio Steganography based on Mid/Side Processing

Cilt: 8 Sayı: 1 23 Haziran 2025
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Stereo Audio Steganography based on Mid/Side Processing

Öz

This paper introduces a novel audio steganography algorithm that integrates principles from music theory and audio mixing techniques. In the field of steganography, audio files are often less favored as cover media due to the heightened sensitivity of the human auditory system. To maintain the principle of imperceptibility, data-hiding capacity is typically reduced. However, the method proposed in this work demonstrates how music production technologies can be effectively applied in audio steganography, ensuring minimal perceptual impact. In particular, the process of separately mixing the mid and side components of the sound with signal processing tools, often used by mixing engineers, brings a new perspective to audio steganography. Experimental results show that even when the entire cover file is utilized for data embedding, the imperceptibility remains intact. Additionally, the proposed method exhibits strong robustness, maintaining message integrity even after MP3 compression also known as one of the common stego-attack-. MATLAB codes related to this study are available at the following link: http://bit.ly/3R6uwZv

Anahtar Kelimeler

Etik Beyan

This manuscript is the original work of the author(s) and has not been published or submitted elsewhere. All relevant ethical guidelines have been followed, and no part of this work involves any form of unethical practice. The data used in this study was obtained from publicly available sources and does not violate any privacy or copyright regulations.

Teşekkür

This article is an updated and expanded version of the paper titled "Audio Steganography with Stereo Audio by Using Mid/Side Processing," presented at the International Conference on Cyber Security and Digital Forensics (ICONSEC'24). We would like to express our gratitude to the conference committee for their valuable feedback, the reviewers who will evaluate this manuscript, and Prof. Dr. Murat Gök for his contributions.

Kaynakça

  1. [1] G. Kale, A. Joshi, I. Shukla, and A. Bhosale, “A Video Steganography Approach with Randomization Algorithm Using Image and Audio Steganography,” in 2024 International Conference on Emerging Smart Computing and Informatics, ESCI 2024, Institute of Electrical and Electronics Engineers Inc., 2024. doi: 10.1109/ESCI59607.2024.10497225.
  2. [2] Q. Li, B. Ma, X. Wang, C. Wang, and S. Gao, “Image Steganography in Color Conversion,” IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 71, no. 1, pp. 106–110, Jan. 2024, doi: 10.1109/TCSII.2023.3300330.
  3. [3] S. He, D. Xu, L. Yang, H. Dai, and S. Wang, “An anti-steganalysis adaptive steganography for HEVC video based on PU partition modes,” J Vis Commun Image Represent, vol. 98, Feb. 2024, doi: 10.1016/j.jvcir.2023.103995.
  4. [4] F. ASLANTAŞ and C. HANİLÇİ, “Comparative Analysis Of Audio Steganography Methods,” Journal of Innovative Science and Engineering (JISE), Jan. 2022, doi: 10.38088/jise.932549.
  5. [5] A. E. Altinbaç and Y. Yalman, “Bit Reduction based Audio Steganography Algorithm,” in Proceedings - 6th International Conference on Computer Science and Engineering, UBMK 2021, Institute of Electrical and Electronics Engineers Inc., 2021, pp. 703–706. doi: 10.1109/UBMK52708.2021.9558943.
  6. [6] X. Zhang, C. Li, and L. Tian, “Advanced audio coding steganography algorithm with distortion minimization model based on audio beat,” Computers and Electrical Engineering, vol. 106, Mar. 2023, doi: 10.1016/j.compeleceng.2023.108580.
  7. [7] R. Bona, D. Fantini, G. Presti, M. Tiraboschi, J. I. Engel Alonso-Martinez, and F. Avanzini, “Automatic Parameters Tuning of Late Reverberation Algorithms for Audio Augmented Reality,” in ACM International Conference Proceeding Series, Association for Computing Machinery, Sep. 2022, pp. 36–43. doi: 10.1145/3561212.3561236.
  8. [8] J. Jezdimirovic, N. Pekez, and J. Kovacevic, “Security enhancement of LSB-based audio steganography method,” in 2023 IEEE Zooming Innovation in Consumer Technologies Conference, ZINC 2023, Institute of Electrical and Electronics Engineers Inc., 2023, pp. 77–82. doi: 10.1109/ZINC58345.2023.10174020.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Veri Mühendisliği ve Veri Bilimi, Veri Yönetimi ve Veri Bilimi (Diğer)

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

23 Haziran 2025

Gönderilme Tarihi

10 Ekim 2024

Kabul Tarihi

12 Ocak 2025

Yayımlandığı Sayı

Yıl 2025 Cilt: 8 Sayı: 1

Kaynak Göster

APA
Altınbaş, A. E., & Yalman, Y. (2025). Stereo Audio Steganography based on Mid/Side Processing. Veri Bilimi, 8(1), 38-45. https://izlik.org/JA25WH49DJ
AMA
1.Altınbaş AE, Yalman Y. Stereo Audio Steganography based on Mid/Side Processing. Veri Bilim Derg. 2025;8(1):38-45. https://izlik.org/JA25WH49DJ
Chicago
Altınbaş, Ali Erdem, ve Yıldıray Yalman. 2025. “Stereo Audio Steganography based on Mid/Side Processing”. Veri Bilimi 8 (1): 38-45. https://izlik.org/JA25WH49DJ.
EndNote
Altınbaş AE, Yalman Y (01 Haziran 2025) Stereo Audio Steganography based on Mid/Side Processing. Veri Bilimi 8 1 38–45.
IEEE
[1]A. E. Altınbaş ve Y. Yalman, “Stereo Audio Steganography based on Mid/Side Processing”, Veri Bilim Derg, c. 8, sy 1, ss. 38–45, Haz. 2025, [çevrimiçi]. Erişim adresi: https://izlik.org/JA25WH49DJ
ISNAD
Altınbaş, Ali Erdem - Yalman, Yıldıray. “Stereo Audio Steganography based on Mid/Side Processing”. Veri Bilimi 8/1 (01 Haziran 2025): 38-45. https://izlik.org/JA25WH49DJ.
JAMA
1.Altınbaş AE, Yalman Y. Stereo Audio Steganography based on Mid/Side Processing. Veri Bilim Derg. 2025;8:38–45.
MLA
Altınbaş, Ali Erdem, ve Yıldıray Yalman. “Stereo Audio Steganography based on Mid/Side Processing”. Veri Bilimi, c. 8, sy 1, Haziran 2025, ss. 38-45, https://izlik.org/JA25WH49DJ.
Vancouver
1.Ali Erdem Altınbaş, Yıldıray Yalman. Stereo Audio Steganography based on Mid/Side Processing. Veri Bilim Derg [Internet]. 01 Haziran 2025;8(1):38-45. Erişim adresi: https://izlik.org/JA25WH49DJ