Hash-based Content Authentication and Integrity Verification: A Secure Framework for Video Watermarking
Preeti Saini, Rakesh Ahuja, Deepali Gupta · Recent Advances in Computer Science and Communications · 2025
Introduction: The growing demand for digital multimedia content is driving up the requirement for video data. Forensics, digital rights management, surveillance, and other uses where accuracy and integrity are critical depending on this data. Objective: To design and implement a hash-based watermarking technique for video authentication, and to assess its robustness and imperceptibility through comprehensive evaluation and comparison with current state-of-the-art methods for confirming the authenticity and integrity of video content. Methods: The suggested technique is evaluated using a dataset of thirty input videos, each with different features such as bitrates, frame rates, resolutions, frame widths, heights, and lengths. Implementation of the watermarking and extraction methods was done using a Python programming environment. The process involves embedding a watermark in each primenumbered frame of the video. The watermark encrypts crucial information on the ownership and genuineness of the video. Results and Discussion: The watermarking scheme’s resilience is evaluated by simulating frame-level attacks. Metrics like the Structural Similarity Index (SSIM) and Peak Signal-to-Noise Ratio (PSNR) are used for video authentication. The performance of the proposed method with existing techniques has been compared in terms of robustness, authentication accuracy, and computational efficiency. The outcomes of the experiment confirm that the suggested approach is efficient in identifying and thwarting assaults while preserving a high degree of authentication precision. Conclusion: The suggested solution works well in a variety of simulated attack scenarios and offers a dependable way to guarantee video integrity and authenticity.