应用科学学报 ›› 2025, Vol. 43 ›› Issue (2): 315-333.doi: 10.3969/j.issn.0255-8297.2025.02.010

• 计算机科学与应用 • 上一篇    

基于区块链的图像数字版权保护系统

兰亚杰1,2, 马自强1,2, 苗莉1,2, 胡富森1,2   

  1. 1. 宁夏大学 信息工程学院, 宁夏回族自治区 银川 750021;
    2. 宁夏大学 宁夏大数据与人工智能省部共建协同创新中心, 宁夏回族自治区 银川 750021
  • 收稿日期:2024-07-10 发布日期:2025-04-03
  • 通信作者: 马自强,副教授,研究方向为计算机系统安全、网络流量识别分析、网络舆情分析、区块链应用安全等。E-mail:maziqiang@nxu.edu.cn
  • 基金资助:
    宁夏回族自治区重点研发计划引才专项(No.2021BEB04047,No.2021BEB04004);宁夏回族自治区重点研发计划一般项目(No.2022BDE03008)资助

Image Digital Copyright Protection System Based on Blockchain

LAN Yajie1,2, MA Ziqiang1,2, MIAO Li1,2, HU Fusen1,2   

  1. 1. School of Information Engineering, Ningxia University, Yinchuan 750021, Ningxia Hui Autonomous Region, China;
    2. Collaborative Innovation Center for Ningxia Big Data and Artificial Intelligence Co-founded by Ningxia Municipality and Ministry of Education, Ningxia University, Yinchuan 750021, Ningxia Hui Autonomous Region, China
  • Received:2024-07-10 Published:2025-04-03

摘要: 传统的版权管理方法依赖集中式服务器进行存储与验证,这会导致侵权检测困难、版权确权复杂、版权授权流程烦琐,以及缺乏有效的相似性检索机制等问题,使得为版权拥有者提供具有公信力的版权证明变得困难。为此,该文在Hyperledger Fabric区块链网络的基础上,结合尺度不变特征变换相似性检测算法、离散余弦变换零水印算法、混沌映射图像加密算法、星际文件系统分布式存储,提出了一种图像数字版权保护系统。通过系统功能测试及性能分析发现,该系统可以实现确权图像相似性检测、版权所属权证明、去中心化加密存储、版权变更等版权维权功能。该研究为版权拥有者提供了一个透明、安全且开放的图像数字版权交易平台。

关键词: 区块链, 尺度不变特征变换, 离散余弦变换零水印, 混沌映射, 图像数字版权

Abstract: Traditional copyright management methods rely on centralized servers for storage and verification, which leads to a series of problems, such as difficulty in detecting infringement, complexity in the copyright validation and authorization process, and the absence of an effective similarity retrieval mechanism. These issues make it difficult to provide copyright owners with credible evidence of their copyright. To address these challenges, this paper proposes an image digital copyright protection system based on Hyperledger Fabric blockchain network. The system integrates the scale-invariant feature transform (SIFT) similarity detection algorithm, discrete cosine transform (DCT) zero-watermarking algorithm, chaotic mapping image encryption algorithm, and inter planetary file system (IPFS) for distributed storage. System function tests and performance analyses demonstrate the system’s capability to achieve unique similarity detection, reliable copyright ownership proofs, decentralized encrypted storage, and seamless copyright transfer. These features collectively provide a transparent, safe and open platform for digital image copyright trading, ensuring effective copyright protection for copyright owners.

Key words: blockchain, scale-invariant feature transform(SIFT), discrete cosine transform(DCT)zero watermarking, chaotic mapping, image digital copyright

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