• [email protected]
  • +971 507 888 742
Submit Manuscript
SciAlert
  • Home
  • Journals
  • Information
    • For Authors
    • For Referees
    • For Librarian
    • For Societies
  • Contact
  1. Journal of Artificial Intelligence
  2. Vol 7 (2), 2014
  3. 82-93
  • Online First
  • Current Issue
  • Previous Issues
  • More Information
    Aims and Scope Editorial Board Guide to Authors Article Processing Charges
    Submit a Manuscript

Journal of Artificial Intelligence

Year: 2014 | Volume: 7 | Issue: 2 | Page No.: 82-93
DOI: 10.3923/jai.2014.82.93

Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail

Article Trend



Total views 502

Search


Authors


Siva Janakiraman

Country: India

K. Thenmozhi

Country: India

John Bosco Balaguru Rayappan

Country: India

Rengarajan Amirtharajan

Country: India

Keywords


  • steganography
  • Audio fingerprint
  • LSB coding
  • embedded
  • hardware steganography
  • ARM7
Research Article

Audio Fingerprint Indicator in Embedded Platform: A Way for Hardware Steganography

Siva Janakiraman, K. Thenmozhi, John Bosco Balaguru Rayappan and Rengarajan Amirtharajan
The increased intimidation in pilfering copyrighted multimedia files demands the imprint of ownership identity called fingerprint in video/audio files. This would aid to indentify and accuse the imitators. Several hiding methods using image, audio, video or text as cover media have been found in literature with software based implementations like MATLAB. Some of these have also been reported in hardware platforms like FPGAs. As a trade-off between these implementations, embedded devices such as ARM core were used for image steganography on gray images to embed less payload in an attempt to abide the resource constrains on embedded devices. This study suggests an indicator based random LSB coding method that embeds fingerprint on a WAV audio file. The implementation was carried out on an embedded device LPC2148 with ARM7 core housed on MCB2140 evaluation board that supports audio play through on board amplifier and speaker. The original and embedded audio signal in their digitized form resides in FLASH and SRAM on-chip memories of LPC2148.
PDF Fulltext XML References Citation

How to cite this article

Siva Janakiraman, K. Thenmozhi, John Bosco Balaguru Rayappan and Rengarajan Amirtharajan, 2014. Audio Fingerprint Indicator in Embedded Platform: A Way for Hardware Steganography. Journal of Artificial Intelligence, 7: 82-93.

DOI: 10.3923/jai.2014.82.93

URL: https://scialert.net/abstract/?doi=jai.2014.82.93

Related Articles

Light Weight Steganography on RISC Platform-Implementation and Analysis
Why Information Security Demands Transform Domain, Compression and Encryption?
Arabic Text Steganography using Kashida Extensions with Huffman Code
Hiding Data in Video File: An Overview
Inverted Pattern in Inverted Time Domain for Icon Steganography
Pixel Authorized by Pixel to Trace with SFC on Image to Sabotage Data Mugger: A Comparative Study on PI Stego
Steganography-Time to Time: A Review

Leave a Comment


Your email address will not be published. Required fields are marked *

Useful Links

  • Journals
  • For Authors
  • For Referees
  • For Librarian
  • For Socities

Contact Us

Office Number 1128,
Tamani Arts Building,
Business Bay,
Deira, Dubai, UAE

Phone: +971 507 888 742
Email: [email protected]

About Science Alert

Science Alert is a technology platform and service provider for scholarly publishers, helping them to publish and distribute their content online. We provide a range of services, including hosting, design, and digital marketing, as well as analytics and other tools to help publishers understand their audience and optimize their content. Science Alert works with a wide variety of publishers, including academic societies, universities, and commercial publishers.

Follow Us
© Copyright Science Alert. All Rights Reserved