Model and implementation of geographic data transaction certificate and copyright protection based on blockchain and digital watermarking

被引:0
|
作者
Zhu C. [1 ,2 ,3 ]
Xu D. [1 ,2 ,3 ]
Ren N. [1 ,2 ,3 ]
Cui H. [4 ]
Zhao Y. [1 ,2 ,3 ]
机构
[1] Key Laboratory of Virtual Geographic Environment (Nanjing Normal University), Ministry of Education, Nanjing
[2] State Key Laboratory Cultivation Base of Geographical Environment Evolution (Jiangsu Province), Nanjing
[3] Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing
[4] Nanjing Geo-Marking Information Technology Co., Ltd., Nanjing
基金
中国国家自然科学基金;
关键词
Blockchain; Copyright protection; Geographical data; Model; Transaction certificate; Zero-watermark;
D O I
10.11947/j.AGCS.2021.20200559
中图分类号
学科分类号
摘要
In order to effectively solve the trust problem of both parties in the process of geographic data transaction, this paper proposes a geographic data transaction certificate and copyright protection model combining zero-watermark, IPFS and smart contract technology. The model uses the IPFS system to build a new mechanism for zero-watermark registration, which can eliminate the dependence on third-party IPR institutions. Through the smart contract design, the zero-watermark information is registered, and the transaction information is stored permanently in the blockchain to realize the time-stamp authentication of zero-watermark registration. The tamper-resistant of blockchain and the automatic execution mechanism of smart contract in the model enable both parties to reach a consensus and achieve mutual trust without the supervision of a third party. Based on this model, this paper uses "Ant OpenChain" as a smart contract development platform to develop a transaction and copyright protection system for geographic data. With this system, both sides of the transaction can call the smart contract to obtain the transaction certificate from the blockchain. Then, the watermark information is extracted by the zero-watermark downloaded from the IPFS network. Finally, the data copyright can be confirmed and the source can be traced effectively for protecting rights or solving disputes by combining the transaction certificate and watermark information to confirm. Experiments show that the proposed method can protect the rights and interests of both parties and protect the security of transaction data simultaneously. © 2021, Surveying and Mapping Press. All right reserved.
引用
收藏
页码:1694 / 1704
页数:10
相关论文
共 23 条
  • [1] ZHU Changqing, XU Dehe, REN Na, Et al., Digital watermarking theory and approach of geospatial data, (2014)
  • [2] ZHU Changqing, Research progresses in digital watermarking and encryption control for geographical data, Acta Geodaetica et Cartographica Sinica, 46, 10, pp. 1609-1619, (2017)
  • [3] FU Haojun, ZHU Changqing, MIAO Jian, Et al., Multipurpose watermarking algorithm for digital raster map based on wavelet transformation, Acta Geodaetica et Cartographica Sinica, 40, 3, pp. 397-400, (2011)
  • [4] ZHANG Yanqun, BAO Yu, WANG Qianping, Et al., Reversible watermarking algorithm of grid map based on prediction-error histogram, Journal of Software, 8, 5, pp. 1117-1123, (2013)
  • [5] ZAIDA O, HACHANI M, PUECH W., Wavelet-based high-capacity watermarking of 3D irregular meshes, Multimedia Tools and Applications, 74, 15, pp. 5897-5915, (2015)
  • [6] PENG Zhiyong, YUE Mingliang, WU Xia, Et al., Blind watermarking scheme for polylines in vector geo-spatial data, Multimedia Tools and Applications, 74, 24, pp. 11721-11739, (2015)
  • [7] REN Na, ZHOU Qifei, ZHU Changqing, Et al., A lossless watermarking algorithm based on line pairs for vector data, IEEE Access, 8, 8, pp. 156727-156739, (2020)
  • [8] LIU Jingnan, ZHAN Jiao, GUO Chi, Et al., Data logic structure and key technologies on intelligent high-precision map, Journal of Geodesy and Geoinformation Science, 3, 3, pp. 1-17, (2020)
  • [9] YUAN Yong, WANG Feiyue, Blockchain: the state of the art and future trends, Acta Automatica Sinica, 42, 4, pp. 481-494, (2016)
  • [10] ZHANG Mengdi, GAO Zhenji, A discussion of blockchain application in the intellectural property protection of geological big data, China Mining Magazine, 28, 11, pp. 9-14, (2019)