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Proposal of an optimum method of audio steganography to secure data transfer

Bibliographic Data

ID22188016
AuthorsMst Jannatun Ferdaush (University of South Wales), Touhid Bhuiyan (0000-0002-6747-0846)
Year2025
Volume9
Issue1
Pages10020
Publication date2025-01-13
Open AccessYes
TypeARTICLE
VenueJournal of Infrastructure Policy and Development (JOURNAL)
Journal identifiersISSN: 2572-7923 • E-ISSN: 2572-7931
PublisherEnPress Publisher (PUBLISHER)
DOI10.24294/jipd10020
OpenAlexW4406336631
LanguageEN

This paper presents an effective method for performing audio steganography, which would help in improving the security of information transmission. Audio steganography is one of the techniques for hiding secret messages within an audio file to maintain communication secrecy from unwanted listeners. Most of these conventional methods have several drawbacks related to distortion, detectability, and inefficiency. To mitigate these issues, a new scheme is presented which combines the techniques of image interpolation with LSB encoding. It selects non-seed pixels to allow reversibility and diminish distortion in medical images. Our technique also embeds a fragile watermarking scheme to identify any breach during transmission to recover data securely and reliably. A magic rectangle has also been used for encryption to enhance data security. This paper proposes a robust, low-distortion audio steganography technique that provides high data integrity with undetectability and will have wide applications in sectors like e-healthcare, corporate data security, and forensic applications. In the future, this approach will be refined for broader audio formats and overall system robustness

Computer hardware · Computer security · Cryptography · Data transmission · Digital watermarking · Embedding · Encryption · Information hiding · Least significant bit · Steganography · Steganography tools · Telecommunications · Advanced Steganography and Watermarking Techniques · Chaos-based Image/Signal Encryption · Computer Science · Digital Media Forensic Detection · Artificial Intelligence

Highly citedNo

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