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<p>This paper proposes a novel adaptive video steganography scheme for embedding an encrypted file system-based container inside a video stream using reusable dynamic Least Significant Bit (LSB) embedding. Unlike fixed-depth LSB techniques, the proposed approach dynamically adjusts the LSB depth per frame based on motion and texture complexity, thereby optimizing capacity and imperceptibility. Reed-Solomon (RS) error correction is applied before embedding to ensure robustness against compression and transmission errors. A reusable LSB_Map is generated, AES-encrypted, and securely stored to enable accurate extraction. During decoding, the map is decrypted to recover LSB depths and corectly retrieve the encrypted container, which is then decrypted to obtain the original data. The method achieves high imperceptibility and security while reducing computation time by 50–60%. It is suitable for secure communication in telecommunications, IoMT, and defense applications within 5G and beyond networks, demonstrating superior security, resilience, and adaptability over existing techniques.</p>

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Secure Data Hiding in Compressed Video Streams Using Encrypted File System Containers

  • 期刊论文

  • 发表日期：

    2026年6月20日

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  • Hammad Riaz,
  • Manzoor Ellahi

摘要

This paper proposes a novel adaptive video steganography scheme for embedding an encrypted file system-based container inside a video stream using reusable dynamic Least Significant Bit (LSB) embedding. Unlike fixed-depth LSB techniques, the proposed approach dynamically adjusts the LSB depth per frame based on motion and texture complexity, thereby optimizing capacity and imperceptibility. Reed-Solomon (RS) error correction is applied before embedding to ensure robustness against compression and transmission errors. A reusable LSB_Map is generated, AES-encrypted, and securely stored to enable accurate extraction. During decoding, the map is decrypted to recover LSB depths and corectly retrieve the encrypted container, which is then decrypted to obtain the original data. The method achieves high imperceptibility and security while reducing computation time by 50–60%. It is suitable for secure communication in telecommunications, IoMT, and defense applications within 5G and beyond networks, demonstrating superior security, resilience, and adaptability over existing techniques.