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<p>In the rapidly evolving Internet of Things (IoT) landscape, securing multimedia data transmission is paramount. This study introduces a robust reversible watermarking framework leveraging Integer-to-Integer Discrete Wavelet Transforms (ITI-DWT) to ensure data integrity and authenticity. By integrating Alattar’s Difference Expansion with ITI-DWT, our approach enhances embedding capacity while maintaining reversibility. Furthermore, hybrid techniques, including Chaotic XOR encryption, error-correcting coding, and coefficient permutation, are employed to bolster security. Experimental evaluations on benchmark grayscale images demonstrate 100% recovery under no-attack conditions and balanced performance under various attacks, achieving a low Bit Error Rate (BER) of approximately 48–50%. This framework presents a significant advancement in securing IoT-driven multimedia content.</p>

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A secure ITI-DWT-based reversible watermarking framework for attack-prone IoT environments

  • 期刊论文

  • 发表日期：

    2026年5月28日

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  • Sujatha G,
  • Arun Kumar

摘要

In the rapidly evolving Internet of Things (IoT) landscape, securing multimedia data transmission is paramount. This study introduces a robust reversible watermarking framework leveraging Integer-to-Integer Discrete Wavelet Transforms (ITI-DWT) to ensure data integrity and authenticity. By integrating Alattar’s Difference Expansion with ITI-DWT, our approach enhances embedding capacity while maintaining reversibility. Furthermore, hybrid techniques, including Chaotic XOR encryption, error-correcting coding, and coefficient permutation, are employed to bolster security. Experimental evaluations on benchmark grayscale images demonstrate 100% recovery under no-attack conditions and balanced performance under various attacks, achieving a low Bit Error Rate (BER) of approximately 48–50%. This framework presents a significant advancement in securing IoT-driven multimedia content.