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  • 标题:ENHANCING THE HIDING CAPACITY OF AUDIO STEGANOGRAPHY BASED ON BLOCK MAPPING
  • 本地全文:下载
  • 作者:AHMED HUSSAIN ALI ; MOHD ROSMADI MOKHTAR ; LOAY EDWAR GEORGE
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2017
  • 卷号:95
  • 期号:7
  • 出版社:Journal of Theoretical and Applied
  • 摘要: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.
  • 关键词:Fractal Coding; Iteration Function System (IFS); Least Significant Bit (LSB); Steganography; Chaotic map.
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