TY - GEN
T1 - PairStruct
T2 - 5th International Conference on Advanced Research in Computing, ICARC 2025
AU - Muzli, Alfarabi
AU - Chanda D'Layla, Adifa Widyadhani
AU - Jean De La Croix, Ntivuguruzwa
AU - Ahmad, Tohari
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - The rapid evolution of digital technologies has heightened the need for robust data security and privacy measures. Steganography has emerged as a crucial technique for covertly embedding sensitive data into digital multimedia, such as images, while preserving visual integrity. This paper presents an improved pixel difference method for digital image steganography, leveraging the texture features of cover images to enhance imperceptibility and maintain high data recovery rates. The proposed method effectively balances payload capacity, visual quality, and data integrity by incorporating standard deviation to embed data adaptively into noisier regions. Experimental results on standard datasets demonstrate that the proposed method performs better than prior approaches. Peak Signal-to-Noise Ratio (PSNR) values consistently exceed 58 dB for payloads up to 20 kb, ensuring minimal impact on visual quality. Even at higher payloads of 100 kb, the method maintains higher PSNR values and achieves a perfect Structural Similarity Index Measure (SSIM) of 1.000 across all payload sizes. Furthermore, the proposed method achieves a 100% recovery rate, significantly outperforming prior research, which exhibits declining recovery rates at larger payloads.
AB - The rapid evolution of digital technologies has heightened the need for robust data security and privacy measures. Steganography has emerged as a crucial technique for covertly embedding sensitive data into digital multimedia, such as images, while preserving visual integrity. This paper presents an improved pixel difference method for digital image steganography, leveraging the texture features of cover images to enhance imperceptibility and maintain high data recovery rates. The proposed method effectively balances payload capacity, visual quality, and data integrity by incorporating standard deviation to embed data adaptively into noisier regions. Experimental results on standard datasets demonstrate that the proposed method performs better than prior approaches. Peak Signal-to-Noise Ratio (PSNR) values consistently exceed 58 dB for payloads up to 20 kb, ensuring minimal impact on visual quality. Even at higher payloads of 100 kb, the method maintains higher PSNR values and achieves a perfect Structural Similarity Index Measure (SSIM) of 1.000 across all payload sizes. Furthermore, the proposed method achieves a 100% recovery rate, significantly outperforming prior research, which exhibits declining recovery rates at larger payloads.
KW - data hiding
KW - digital image transformation
KW - information security
KW - national security
KW - steganography
UR - https://www.scopus.com/pages/publications/105004552407
U2 - 10.1109/ICARC64760.2025.10963215
DO - 10.1109/ICARC64760.2025.10963215
M3 - Conference contribution
AN - SCOPUS:105004552407
T3 - 2025 5th International Conference on Advanced Research in Computing: Converging Horizons: Uniting Disciplines in Computing Research through AI Innovation, ICARC 2025 - Proceedings
BT - 2025 5th International Conference on Advanced Research in Computing
A2 - Ishanka, U.A.P.
A2 - Herath, G.A.C.A.
A2 - Prasanth, Senthan
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 19 February 2025 through 20 February 2025
ER -