Abstract
With the continuous development of multimedia, more and more digital works such as videos are spread, stored, and used in the network. In recent years, digital copyright infringement disputes have occurred frequently. The traditional copyright protection system has some problems, such as difficulty confirming copyright, monitoring infringement, and obtaining evidence for rights protection. To this end, we have designed and implemented a novel video copyright protection scheme based on the blockchain and double watermarking technology. We use the image correlation coefficient method to extract video keyframes. And we combine with Contourlet Transform domain, QR decomposition, and SIFT algorithm to improve the robustness of watermark against geometric attacks on the premise of invisibility. After that, we use Arnold Transformation (Cat Map) based on the Maximum Entropy Threshold Segmentation to encrypt the robust watermark and strengthen the security. Moreover, based on the characteristics of the fragile watermarking, we accurately locate the attacked video’s tamper position and complete the integrity authentication of the watermarked video. In addition, the hash digest of the video watermark and the user ID of the copyright owner is signed by SM2 and uploaded to the blockchain. The user can register the copyright after passing the identity authentication. We conduct tests and security analysis on the blockchain performance of the system, the performance of the commercial cryptography algorithm, and the security of the watermarking system. The experimental results show that the blockchain used in this system conforms to the industry standard, the performance of SM2 and SM3 is better than ECC-256 and SHA-256, and the system security is well guaranteed.
Highlights
With the advent of the Internet era, the new media industry is growing at high speed worldwide [1], resulting from the integration of network technology and cultural industry. e number of video resources that people are exposed to in their daily life is rapidly expanding
We propose and implement a video copyright protection system based on the blockchain and double watermarking technology
We verify the user's identity to confirm that the user is who he claims to be. e combination of Contourlet Transform domain, QR decomposition, and SIFT algorithm makes the robust watermark improve the robustness against geometric attacks under the premise of invisibility. e watermark is encrypted by using Arnold Transformation (Cat Map) based on the Maximum Entropy reshold Segmentation and pinpoints the location of the tampered location by using the fragile watermarking
Summary
With the advent of the Internet era, the new media industry is growing at high speed worldwide [1], resulting from the integration of network technology and cultural industry. e number of video resources that people are exposed to in their daily life is rapidly expanding. E Internet brings opportunities to the field of video works and the problem of industry copyright disorder. Is problem is the challenge in this field If it cannot be solved in time, it will be a significant obstacle for the development of China’s online video works copyright industry [10]. In order to protect their IPR, individuals or groups often embed the watermark of relevant information with certainty and confidentiality into the resources they want to protect When their watermarks are not notarized by trusted third-party certification bodies, the relationship between them and individuals or groups cannot be guaranteed, which leads to the watermark’s poor relevance to the owner. We propose and implement a video copyright protection system based on the blockchain and double watermarking technology. We verify the user's identity to confirm that the user is who he claims to be. e combination of Contourlet Transform domain, QR decomposition, and SIFT algorithm makes the robust watermark improve the robustness against geometric attacks under the premise of invisibility. e watermark is encrypted by using Arnold Transformation (Cat Map) based on the Maximum Entropy reshold Segmentation and pinpoints the location of the tampered location by using the fragile watermarking
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