Article: Utilisation of audible steganography to organise and analyse the text within WAV files Journal: International Journal of Intelligent Engineering Informatics (IJIEI) 2022 Vol.10 No.5 pp.397 - 410 Abstract: This project seeks to encrypt audio cover files and create temporal domain audio steganography, an audio file with hidden options and text. The mean square error (MSE), mean absolute error (MAE), signal-to-noise ratio (SNR), and cross-correlation analysis identify audio stream text data by comparing 8-bit and 16-bit pulse-code modulation (PCM) audio. This study estimates how many characters can be added to an audio file without changing its structure. MP3's bit rate is audible. Audio steganography is a secure, cost-effective approach to encrypting network data. It's useful for steganography due to low noise distortion. Undetectable embedding is preferable. The suggested technique improves accuracy at low embed levels, according to testing. The suggested strategy delivers the highest peak signal-to-noise ratio (PSNR) with hidden information in the first, second, and third least-significant bit (LSBs). Three LSB had 98% accuracy and the lowest false alarm rate (less than 5%). Experiments reveal that this study's method extracts audio. The recommended method is hard and capable. Novel audio file steganography is imperceptible and recovers messages, and text message length affects robustness. Inderscience Publishers - linking academia, business and industry through research

Title: Utilisation of audible steganography to organise and analyse the text within WAV files

Authors: R. Ramyadevi; V. Poornima

Addresses: Department of Computer Science, SRM Institute of Science and Technology, Ramapuram, Chennai – 600089, Tamil Nadu, India ' Department of Computer Science, SRM Institute of Science and Technology, Ramapuram, Chennai – 600089, Tamil Nadu, India

Abstract: This project seeks to encrypt audio cover files and create temporal domain audio steganography, an audio file with hidden options and text. The mean square error (MSE), mean absolute error (MAE), signal-to-noise ratio (SNR), and cross-correlation analysis identify audio stream text data by comparing 8-bit and 16-bit pulse-code modulation (PCM) audio. This study estimates how many characters can be added to an audio file without changing its structure. MP3's bit rate is audible. Audio steganography is a secure, cost-effective approach to encrypting network data. It's useful for steganography due to low noise distortion. Undetectable embedding is preferable. The suggested technique improves accuracy at low embed levels, according to testing. The suggested strategy delivers the highest peak signal-to-noise ratio (PSNR) with hidden information in the first, second, and third least-significant bit (LSBs). Three LSB had 98% accuracy and the lowest false alarm rate (less than 5%). Experiments reveal that this study's method extracts audio. The recommended method is hard and capable. Novel audio file steganography is imperceptible and recovers messages, and text message length affects robustness.

Keywords: audio steganography; PCM; pulse-code modulation; information security; WAV file format; least-significant bit (LSB) method; audiovisual systems; SNR; cycle coding; asymmetric coding.

DOI: 10.1504/IJIEI.2022.129098

International Journal of Intelligent Engineering Informatics, 2022 Vol.10 No.5, pp.397 - 410

Received: 17 Sep 2022
Accepted: 24 Nov 2022
Published online: 17 Feb 2023 *

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Title: Utilisation of audible steganography to organise and analyse the text within WAV files

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