Digital Intellectual Property Protection System Based on Artificial Intelligence Algorithm

At present, digital intellectual property protection system is generally designed by combining manual management with central organization. In this mode, the system is easily subjected to various attacks, leading to system intrusion or failure. In order to solve the existing research of digital intellectual property protection system based on artificial intelligence technology, digital watermark attack means, users of the system requirements analysis and the depth of the neural network is discussed, on the basis of against based on artificial intelligence algorithm proposed in this paper the development environment of digital intellectual property protection system and benchmark data set were described simply. Furthermore, the system architecture is designed and discussed. Finally, the digital intellectual property protection system integrated with deep neural network is analyzed experimentally. The experimental data show that the deep neural network technology based on artificial intelligence algorithm can protect against property rights attacks, and the accuracy of digital watermarking and digital signature against four types of attacks is about 85% and 98% on average, respectively. Therefore, it is verified that the AI-based algorithm has a good defense effect on the protection of digital intellectual property rights.