Enhanced Secret Data Hiding in Audio Samples via Bit Distribution and Segmentation

Satria Manggala Jati, Ntivuguruzwa Jean De La Croix, Tohari Ahmad

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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).

Original languageEnglish
Title of host publication2024 International Conference on Artificial Intelligence, Blockchain, Cloud Computing, and Data Analytics, ICoABCD 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages131-136
Number of pages6
ISBN (Electronic)9798350368451
DOIs
Publication statusPublished - 2024
Event2024 International Conference on Artificial Intelligence, Blockchain, Cloud Computing, and Data Analytics, ICoABCD 2024 - Virtual, Online, Indonesia
Duration: 20 Aug 202421 Aug 2024

Publication series

Name2024 International Conference on Artificial Intelligence, Blockchain, Cloud Computing, and Data Analytics, ICoABCD 2024

Conference

Conference2024 International Conference on Artificial Intelligence, Blockchain, Cloud Computing, and Data Analytics, ICoABCD 2024
Country/TerritoryIndonesia
CityVirtual, Online
Period20/08/2421/08/24

Keywords

  • audio steganography
  • bit distribution
  • data hiding
  • embedding space segmentation
  • information security

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