Steganography on raw video based on proper detection and compromise between the parameters of transparency, resistance and capacity

Document Type : Original Article

Authors

1 Imam Hossein Comprehensive University

2 Tehran university

Abstract

One of the major weaknesses of steganography algorithms in detection, is the lack of proper estimation of the data on the recipient side. The appropriate detection in the steganography algorithm is directly related to the tradeoff between the three parameters of transparency, resistance and capacity. The proposed algorithm uses a proper tradeoff between these three parameters. Due to this issue, in this article the inclusion of information in the intermediate frequency coefficients of the wavelet by the Spread Spectrum method has been used in order to maintain transparency. The reduction of resistance is prevented by obtaining the appropriate amplification coefficient parameter for embedding of information. Proper measurement of is also assessed by the error bit rate. Setting the proper capacity in a cover and the full coverage of secret data embedding are the two suggested steps related to the capacity parameter. In the first step, the proper capacity means the proper tradeoff between the capacity parameter and the transparency parameter, i.e. the steganography has the proper values ​​of the SSIM and PSNR parameters. The use of low entropy covers leads to low capacity but also high resistance. In this case, the error bit rate is also reduced, which means getting close to the appropriate value of and the appropriate resistance. In the second step, the use of video frames of Windows Media Video is proposed for full coverage of secret data embedding. Since there may be a massive amount of secret data and a single cover may not be sufficient, a cover bank is required. As creating an image bank with close statistical properties may be difficult and time consuming, the video frames of Windows Media Video have been used.

Keywords

References

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History

  • Receive Date: 05 December 2018
  • Revise Date: 10 August 2019
  • Accept Date: 18 June 2019
  • Publish Date: 21 May 2020

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