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<p>Steganography plays an important role in transferring secret data over insecure networks. Moreover, digital images are taken as a cover to communicate sensitive data. This paper works with the novel idea of a data-hiding technique in cover video files leveraging a combination of a Linear Feedback Shift Register (LFSR) and the Hénon 2D chaotic map. We utilized the chaotic theory and LFSR concepts to embed data within individual frames of the cover video, enhancing security by randomising the frames used and subsequent choice of pixels in chosen frames. Following that, the proposed algorithm makes use of LSB encoding to embed secret data in chosen pixels. The utilization of chaotic theory, rooted in nonlinear dynamics of physics, underscores the sensitivity of chaotic systems to minute changes in initial conditions, rendering it exceedingly challenging to discern the data’s embedding position without knowledge of the chaotic map’s initial value, ensuring high level in randomness in data embedding positions. Peak Signal Noise Ratio (PSNR), Mean Square Error (MSE) and Correlation measures are used for quantitative analysis of the proposed scheme, along with a comparison of existing methodologies to conclude that the proposed video steganography approach is novel and provides an efficient level of security.</p>

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Secure video steganography using chaotic theory and LFSR

  • 期刊论文

  • 发表日期：

    2026年5月18日

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  • Dayita Chaudhuri,
  • Nirmalya Kar,
  • Priyanka Biswas

摘要

Steganography plays an important role in transferring secret data over insecure networks. Moreover, digital images are taken as a cover to communicate sensitive data. This paper works with the novel idea of a data-hiding technique in cover video files leveraging a combination of a Linear Feedback Shift Register (LFSR) and the Hénon 2D chaotic map. We utilized the chaotic theory and LFSR concepts to embed data within individual frames of the cover video, enhancing security by randomising the frames used and subsequent choice of pixels in chosen frames. Following that, the proposed algorithm makes use of LSB encoding to embed secret data in chosen pixels. The utilization of chaotic theory, rooted in nonlinear dynamics of physics, underscores the sensitivity of chaotic systems to minute changes in initial conditions, rendering it exceedingly challenging to discern the data’s embedding position without knowledge of the chaotic map’s initial value, ensuring high level in randomness in data embedding positions. Peak Signal Noise Ratio (PSNR), Mean Square Error (MSE) and Correlation measures are used for quantitative analysis of the proposed scheme, along with a comparison of existing methodologies to conclude that the proposed video steganography approach is novel and provides an efficient level of security.