TY - GEN
T1 - Enhanced Secret Data Hiding in Audio Samples via Bit Distribution and Segmentation
AU - Jati, Satria Manggala
AU - De La Croix, Ntivuguruzwa Jean
AU - Ahmad, Tohari
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - The backbone of information technology has recently been identified as mainly based on information security. Information security is expected to be aligned with advances in information technology by keeping confidential data during transmission. Regarding confidentiality, steganography is used to hide private data by using publicly available multimedia data as carriers. Multimedia data mostly used in steganography are in the form of audio, images, or video. Some steganography methods have been introduced in those various forms, although challenges remain regarding the capacity for carried secret data and the quality of the resulting stego. This research proposes a new steganography algorithm based on hiding secret data in audio samples via bit distribution and segmentation. The secret bits are distributed evenly among the audio samples to minimize differences with the original samples according to the threshold. The embedding technique uses the segmentation of embedding spaces as a reference to extract secret data and original audio samples. The experimental results demonstrate significant performance with embedding capacity ranging from 273 to 972 kb, which is outperforming compared to the considered existing works. Moreover, the proposed method achieves the highest peak signal-to-ratio (PSNR) of 120.71 decibels (dB) for a payload size of 1 kilobit (kb).
AB - The backbone of information technology has recently been identified as mainly based on information security. Information security is expected to be aligned with advances in information technology by keeping confidential data during transmission. Regarding confidentiality, steganography is used to hide private data by using publicly available multimedia data as carriers. Multimedia data mostly used in steganography are in the form of audio, images, or video. Some steganography methods have been introduced in those various forms, although challenges remain regarding the capacity for carried secret data and the quality of the resulting stego. This research proposes a new steganography algorithm based on hiding secret data in audio samples via bit distribution and segmentation. The secret bits are distributed evenly among the audio samples to minimize differences with the original samples according to the threshold. The embedding technique uses the segmentation of embedding spaces as a reference to extract secret data and original audio samples. The experimental results demonstrate significant performance with embedding capacity ranging from 273 to 972 kb, which is outperforming compared to the considered existing works. Moreover, the proposed method achieves the highest peak signal-to-ratio (PSNR) of 120.71 decibels (dB) for a payload size of 1 kilobit (kb).
KW - audio steganography
KW - bit distribution
KW - data hiding
KW - embedding space segmentation
KW - information security
UR - http://www.scopus.com/inward/record.url?scp=85207823853&partnerID=8YFLogxK
U2 - 10.1109/ICoABCD63526.2024.10704403
DO - 10.1109/ICoABCD63526.2024.10704403
M3 - Conference contribution
AN - SCOPUS:85207823853
T3 - 2024 International Conference on Artificial Intelligence, Blockchain, Cloud Computing, and Data Analytics, ICoABCD 2024
SP - 131
EP - 136
BT - 2024 International Conference on Artificial Intelligence, Blockchain, Cloud Computing, and Data Analytics, ICoABCD 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 International Conference on Artificial Intelligence, Blockchain, Cloud Computing, and Data Analytics, ICoABCD 2024
Y2 - 20 August 2024 through 21 August 2024
ER -