Integration of Intelligent Network System and Chinese Painting Creation: Network Security Strategy and Creation Protection Mechanism

Abstract

The digital display of traditional Chinese paintings is limited to display and storage, and lacks systematic copyright authentication and protection. In addition, the traditional watermark protection used to protect Chinese painting creations has poor security and is easily stolen or tampered with, affecting its appearance. This paper used network security strategies such as RBAC and creation protection mechanisms such as blockchain authentication to study the integration of intelligent network systems and Chinese painting creation. The study first built the security architecture of the intelligent network system, used the RBAC model to define the three roles of creators, management centers and audiences, and set corresponding permissions. Then, AES-256 was used to encrypt the information of Chinese paintings, and the TLS protocol was used for data transmission. Finally, the digital fingerprints and other related information of Chinese paintings were registered on the Hyperledger Fabric blockchain through smart contracts, and the DCT algorithm was applied to each work to embed invisible digital watermarks, forming a creation protection mechanism. Experimental results show that the RBAC-AES-TLS -blockchain-invisible digital watermark method has an accuracy of 95.75% under SQL injection attacks, which is 6% and 9.75% higher than the separate RBAC-AES-TLS network security strategy and blockchain-invisible digital watermark creation protection mechanism respectively. Experiments show that the innovative method of this paper integrates the intelligent network system with the creation of Chinese paintings, significantly improving the systematic copyright authentication and protection of Chinese paintings, and ensuring the best visual quality.