Enhancing the hiding capacity of audio steganography based on block mapping

Ahmed Hussain Ali, Mohd Rosmadi Mokhtar, Loay Edwar George

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

With the rapid growth in exchanging personal and confidential data through a unsecure channel like the internet and exposing it though disclosing by intruders, the necessity of information security became a great demand. As a result, data hiding or steganography appeared as a vital solution. Audio hiding is a concept of injecting the secret data in an audio carrier. This paper proposes a scheme known as ECA-BM, to improve the performance of the audio steganography. ECA-BM contributes in: (1) increases the hiding capacity, (2) maintains the transparency of carrier and (3) enhance the security of the proposed model. To increase the hiding capacity, fractal coding is adopted to create a mapping between the cover and secret blocks in order to encode the secret data into a set of coefficients with minimum size. To maintain the fidelity of the stego file, only 1-LSB from each cover sample is used for embedding. To increase the security of the ECA-BM, the cover samples for embedding are selected in a chaotic manner. LSB technique is utilized for embedding after converting secret coefficients into a binary sequence. Objective metrics, SNR, HC, and NC is used to evaluate the performance of ECA-BM. The Experimental results show a significant increase in the hiding capacity compared with some related studies. Moreover, the fidelity of the stego and reconstructed secret file are preserved.

Original languageEnglish
Pages (from-to)1441-1448
Number of pages8
JournalJournal of Theoretical and Applied Information Technology
Volume95
Issue number7
Publication statusPublished - 15 Apr 2017

Fingerprint

Steganography
Cover
Binary sequences
Fidelity
Security of data
Fractals
Transparency
Data Hiding
Binary Sequences
Information Security
Internet
Coefficient
Fractal
Coding
Metric
Evaluate
Experimental Results
Model

Keywords

  • Chaotic map
  • Fractal coding
  • Iteration function system (IFS)
  • Least significant bit (LSB)
  • Steganography

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Enhancing the hiding capacity of audio steganography based on block mapping. / Ali, Ahmed Hussain; Mokhtar, Mohd Rosmadi; George, Loay Edwar.

In: Journal of Theoretical and Applied Information Technology, Vol. 95, No. 7, 15.04.2017, p. 1441-1448.

Research output: Contribution to journalArticle

@article{098564abb7434c09acd19c44745ea12d,
title = "Enhancing the hiding capacity of audio steganography based on block mapping",
abstract = "With the rapid growth in exchanging personal and confidential data through a unsecure channel like the internet and exposing it though disclosing by intruders, the necessity of information security became a great demand. As a result, data hiding or steganography appeared as a vital solution. Audio hiding is a concept of injecting the secret data in an audio carrier. This paper proposes a scheme known as ECA-BM, to improve the performance of the audio steganography. ECA-BM contributes in: (1) increases the hiding capacity, (2) maintains the transparency of carrier and (3) enhance the security of the proposed model. To increase the hiding capacity, fractal coding is adopted to create a mapping between the cover and secret blocks in order to encode the secret data into a set of coefficients with minimum size. To maintain the fidelity of the stego file, only 1-LSB from each cover sample is used for embedding. To increase the security of the ECA-BM, the cover samples for embedding are selected in a chaotic manner. LSB technique is utilized for embedding after converting secret coefficients into a binary sequence. Objective metrics, SNR, HC, and NC is used to evaluate the performance of ECA-BM. The Experimental results show a significant increase in the hiding capacity compared with some related studies. Moreover, the fidelity of the stego and reconstructed secret file are preserved.",
keywords = "Chaotic map, Fractal coding, Iteration function system (IFS), Least significant bit (LSB), Steganography",
author = "Ali, {Ahmed Hussain} and Mokhtar, {Mohd Rosmadi} and George, {Loay Edwar}",
year = "2017",
month = "4",
day = "15",
language = "English",
volume = "95",
pages = "1441--1448",
journal = "Journal of Theoretical and Applied Information Technology",
issn = "1992-8645",
publisher = "Asian Research Publishing Network (ARPN)",
number = "7",

}

TY - JOUR

T1 - Enhancing the hiding capacity of audio steganography based on block mapping

AU - Ali, Ahmed Hussain

AU - Mokhtar, Mohd Rosmadi

AU - George, Loay Edwar

PY - 2017/4/15

Y1 - 2017/4/15

N2 - With the rapid growth in exchanging personal and confidential data through a unsecure channel like the internet and exposing it though disclosing by intruders, the necessity of information security became a great demand. As a result, data hiding or steganography appeared as a vital solution. Audio hiding is a concept of injecting the secret data in an audio carrier. This paper proposes a scheme known as ECA-BM, to improve the performance of the audio steganography. ECA-BM contributes in: (1) increases the hiding capacity, (2) maintains the transparency of carrier and (3) enhance the security of the proposed model. To increase the hiding capacity, fractal coding is adopted to create a mapping between the cover and secret blocks in order to encode the secret data into a set of coefficients with minimum size. To maintain the fidelity of the stego file, only 1-LSB from each cover sample is used for embedding. To increase the security of the ECA-BM, the cover samples for embedding are selected in a chaotic manner. LSB technique is utilized for embedding after converting secret coefficients into a binary sequence. Objective metrics, SNR, HC, and NC is used to evaluate the performance of ECA-BM. The Experimental results show a significant increase in the hiding capacity compared with some related studies. Moreover, the fidelity of the stego and reconstructed secret file are preserved.

AB - With the rapid growth in exchanging personal and confidential data through a unsecure channel like the internet and exposing it though disclosing by intruders, the necessity of information security became a great demand. As a result, data hiding or steganography appeared as a vital solution. Audio hiding is a concept of injecting the secret data in an audio carrier. This paper proposes a scheme known as ECA-BM, to improve the performance of the audio steganography. ECA-BM contributes in: (1) increases the hiding capacity, (2) maintains the transparency of carrier and (3) enhance the security of the proposed model. To increase the hiding capacity, fractal coding is adopted to create a mapping between the cover and secret blocks in order to encode the secret data into a set of coefficients with minimum size. To maintain the fidelity of the stego file, only 1-LSB from each cover sample is used for embedding. To increase the security of the ECA-BM, the cover samples for embedding are selected in a chaotic manner. LSB technique is utilized for embedding after converting secret coefficients into a binary sequence. Objective metrics, SNR, HC, and NC is used to evaluate the performance of ECA-BM. The Experimental results show a significant increase in the hiding capacity compared with some related studies. Moreover, the fidelity of the stego and reconstructed secret file are preserved.

KW - Chaotic map

KW - Fractal coding

KW - Iteration function system (IFS)

KW - Least significant bit (LSB)

KW - Steganography

UR - http://www.scopus.com/inward/record.url?scp=85017575550&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85017575550&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:85017575550

VL - 95

SP - 1441

EP - 1448

JO - Journal of Theoretical and Applied Information Technology

JF - Journal of Theoretical and Applied Information Technology

SN - 1992-8645

IS - 7

ER -