AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
Powered by AMiner. Clicking this button will take you away from SciOpen.
Home Tsinghua Science and Technology Article
PDF (3.9 MB)
Cite
EndNote(RIS) BibTeX
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Open Access

A Copyright-Preserving and Fair Image Trading Scheme Based on Blockchain

School of Computer Science & Engineering, Guangxi Normal University, Guilin 541004, China, and with the Key Lab of Education Blockchain and Intelligent Technology, Ministry of Education, Guangxi Normal University, Guilin 541004, China, and also with Guangxi Collaborative Innovation Center of Multi-Source Information Integration and Intelligent Processing, Guangxi Normal University, Guilin 541004, China
Guangxi Power Grid Materials Co Ltd, Nanning 530022, China
Show Author Information

Abstract

With the proliferation of the Internet, particularly the rise of social media, digital images have gradually become an important part of life, and trading platforms have emerged for buying and selling images. However, traditional image trading service providers may disclose users’ private information for profit. Additionally, many image trading platforms disregard the fairness of a transaction and the issue of copyright protection after an image is sold. This neglect harms the interests of users and affects their enthusiasm for trading. A secure way to safely transact images is needed. We proposed a copyright-preserving and fair image trading scheme based on blockchain, which combines amplifying locality-sensitive hashing with searchable symmetric encryption to achieve safe image retrieval on blockchain and ensure the credibility of the image retrieval process. Additionally, we use digital fingerprint and watermark technologies to realize the copyright protection of images and use smart contracts to achieve fair transaction processes. The experimental results show that our scheme can protect image copyrights and realize a fair trading process while ensuring efficiency.

Keywords

blockchaincopyright-preserving tradefair tradetadors code

References

[1]
O. B. Sezer and A. M. Ozbayoglu, Financial trading model with stock bar chart image time series with deep convolutional neural networks, arXiv preprint arXiv:1903.04610, 2019.
Crossref Google Scholar
[2]
N. Cohen, T. Balch, and M. Veloso, Trading via image classification, in Proceedings of the First ACM International Conference on AI in Finance ACM, New York, NY, USA, 2020. pp. 1–6.
Crossref Google Scholar
[3]
W. Sae-Tang, M. Fujiyoshi, and H. Kiya, A new copyright-and privacy-protected image trading system using a novel steganographybased visual encryption scheme, ECTI Transactions on Electrical Engineering, Electronics, and Communications, vol. 17, no. 1, pp. 95–107, 2019.
Crossref Google Scholar
[4]
W. Sae-Tang and H. Kiya, Hadamard transform-based amplitude-only images for image trading systems, in Proc. of International Workshop on Advanced Image Technology, Busan, Republic of Korea, 2016, pp. 1–4.
Google Scholar
[5]
Z. Ma, Digital rights management: Model, technology and application, China Communications, vol. 14, no. 6, pp. 156–167, 2017.
Crossref Google Scholar
[6]
T. Chen, T. C. Chang, and T. Zhu, Security-enhanced cloud-based image secret sharing and authentication using POB number system, Multimed. Tools Appl., vol. 80, no. 2, pp. 1901–1924, 2021.
Crossref Google Scholar
[7]
Z. Wu, H. Li, X. Wang, Z. Wu, L. Zou, L. Xu, and M. Tan, New benchmark for household garbage image recognition, Tsinghua Science and Technology, vol. 27, no. 5, pp. 793–803, 2022.
Crossref Google Scholar
[8]
L. Wang, X. Liu, and X. Lin, A fair and privacy-preserving image trading system based on blockchain and group signature, Secur. Commun. Netw., vol. 2021, p. 5701258, 2021.
Crossref Google Scholar
[9]
J. Song, E. Kang, H. W. Shin, and J. Jang, A smart contract-based P2P energy trading system with dynamic pricing on ethereum blockchain, Sensors, vol. 21, no. 6, pp. 1985, 2021.
Crossref Google Scholar
[10]
T. Li, H. Wang, and D. He, Blockchain-based privacypreserving and rewarding private data sharing for IoT, IEEE Internet of Things Journal, vol. 9, no. 16, pp. 15138–15149, 2022.
Crossref Google Scholar
[11]
J. Shen, Blockchain technology and its applications in digital content copyright protection, in Proc. 4th Int. Conf. Economic Management and Green Development, Singapore, 2021, pp. 18–25.
Crossref Google Scholar
[12]
S. Nakamoto. Bitcoin: A peer-to-peer electronic cash system, Decentralized Business Review, vol. 21, no. 5, pp. 21260–21268, 2008.
Google Scholar
[13]
G. B. Mermer, E. Zeydan, and S. S. Arslan, An overview of blockchain technologies: Principles, opportunities and challenges, in Proc. 2018 26th Signal Processing and Communications Applications Conf. (SIU), Izmir, Turkey, 2018, pp. 1–4.
Crossref Google Scholar
[14]
J. Ren, J. Li, H. Liu, and T. Qin, Task offloading strategy with emergency handling and blockchain security in SDN-empowered and fog-assisted healthcare IoT, Tsinghua Science and Technology, vol. 27, no. 4, pp. 760–776, 2022.
Crossref Google Scholar
[15]
H. Ma, H. Ding, Y. Yang, Z. Mi, J. Y. Yang, and Z. Xiong, Bayes-based arp attack detection algorithm for cloud centers, Tsinghua Science and Technology, vol. 21, no. 1, pp. 17–28, 2016.
Crossref Google Scholar
[16]
X. Li, J. Li, F. Yu, J. Yang, and Y. Chen, BEIR: A blockchain-based encrypted image retrieval scheme, in Proc. 2021 IEEE 24th Int. Conf. Computer Supported Cooperative Work in Design (CSCWD), Dalian, China, 2021, pp. 452–457.
Crossref Google Scholar
[17]
M. Shen, Y. Deng, L. Zhu, X. Du, and N. Guizani, Privacy-preserving image retrieval for medical IoT systems: A blockchain-based approach, IEEE Netw., vol. 33, no. 5, pp. 27–33, 2019.
Crossref Google Scholar
[18]
M. Li, M. Zhang, Q. Wang, S. S. M. Chow, M. Du, Y. Chen, and C. Lit, InstantCryptoGram: Secure image retrieval service, in Proc. IEEE INFOCOM 2018 - IEEE Conf. Computer Communications, Honolulu, HI, USA, 2018, pp. 2222–2230.
Crossref Google Scholar
[19]
S. Hu, C. Cai, Q. Wang, C. Wang, Z. Wang, and D. Ye, Augmenting encrypted search: A decentralized service realization with enforced execution, IEEE Trans. Depend. Secure Comput., vol. 18, no. 6, pp. 2569–2581, 2019.
Crossref Google Scholar
[20]
A. Savelyev, Copyright in the blockchain era: Promises and challenges, Comput. Law Secur. Rev., vol. 34, no. 3, pp. 550–561, 2018.
Crossref Google Scholar
[21]
S. Tulyakov, F. Farooq, and V. Govindaraju, Symmetric hash functions for fingerprint minutiae, in Proc. Third Int. Conf. Pattern Recognition and Image Analysis, Bath, UK, 2005, pp. 30–38.
Crossref Google Scholar
[22]
A. Charpentier, C. Fontaine, T. Furon, and I. Cox, An asymmetric fingerprinting scheme based on Tardos codes, in Proc. 13th Int. Workshop on Information Hiding, Prague, Czech Republic, 2011, pp. 43–58.
Crossref Google Scholar
[23]
F. Farooq, R. M. Bolle, T. Y. Jea, and N. Ratha, Anonymous and revocable fingerprint recognition, in Proc. 2007 IEEE Conf. on Computer Vision and Pattern Recognition, Minneapolis, MN, USA, 2007, pp. 1–7.
Crossref Google Scholar
[24]
Q. Liu, R. Safavi-Naini, and N. P. Sheppard, Digital rights management for content distribution, in Proc. Australasian Information Security Workshop Conf. ACSW Frontiers 2003, Adelaide, Australia, 2003, pp. 49–58.
Google Scholar
[25]
Z. Ma, M. Jiang, H. Gao, and Z. Wang, Blockchain for digital rights management, Fut. Generat. Comput. Syst., vol. 89, pp. 746–764, 2018.
Crossref Google Scholar
[26]
S. Kenny and L. Korba, Applying digital rights management systems to privacy rights management, Comput. Secur., vol. 21, no. 7, pp. 648–664, 2002.
Crossref Google Scholar
[27]
C. Huang, D. Liu, J. Ni, R. Lu, and X. Shen, Achieving accountable and efficient data sharing in industrial internet of things, IEEE Trans. Ind. Inf., vol. 17, no. 2, pp. 1416–1427, 2021.
Crossref Google Scholar
[28]
Z. Chen, Y. Wang, and T. Ni, DCDChain: A credible architecture of digital copyright detection based on blockchain, arXiv preprint arXiv: 2010.01235v2, 2020.
Google Scholar
[29]
D. Sheng, M. Xiao, A. Liu, X. Zou, B. An, and S. Zhang, CPchain: A copyright-preserving crowdsourcing data trading framework based on blockchain, in Proc. 2020 29th International Conference on Computer Communications and Networks (ICCCN), Honolulu, HI, USA, 2020, pp. 1–9.
Crossref Google Scholar
[30]
Y. Wei and C. Jin, Locality sensitive discriminant projection for feature extraction and face recognition, J. Electr. Imag., vol. 28, no. 4, p. 043028, 2019.
Crossref Google Scholar
[31]
Q. Wang, X. Zhang, J. Qin, J. Ma, and X. Huang, A verifiable symmetric searchable encryption scheme based on the AVL tree, Comput. J., vol. 66, no. 1, pp. 174–183, 2023.
Crossref Google Scholar
[32]
M. A. Saviour and D. Samiappan, IPFS based file storage access control and authentication model for secure data transfer using block chain technique, Concurr. Comput. Pract. Exp., vol. 35, no. 2, p. e7485, 2023.
Crossref Google Scholar
[33]
A. Rubinstein, Perfect equilibrium in a bargaining model, Econometrica, vol. 50, no. 1, pp. 97–109, 1982.
Crossref Google Scholar
[34]
F. Radenović, G. Tolias, and O. Chum, CNN image retrieval learns from BoW: Unsupervised fine-tuning with hard examples, in Proc. 14th European Conf. Computer Vision, Amsterdam, the Netherlands, 2016, pp. 3–20.
Crossref Google Scholar
[35]
N. Ren, D. Tong, H. Cui, C. Zhu, and Q. Zhou, Congruence and geometric feature-based commutative encryption-watermarking method for vector maps, Comput. Geosci., vol. 159, p. 105009, 2022.
Crossref Google Scholar
[36]
B. Škorić and J. J. Oosterwijk, Binary and q-ary Tardos codes, revisited, Des. Codes Cryptogr., vol. 74, no. 1, pp. 75–111, 2015.
Crossref Google Scholar
Tsinghua Science and Technology
Volume 28 Issue 5,
October 2023
Pages 849-861
DOI: 10.26599/TST.2022.9010066
Cite this article:
Yu F, Peng J, Li X, et al. A Copyright-Preserving and Fair Image Trading Scheme Based on Blockchain. Tsinghua Science and Technology, 2023, 28(5): 849-861. https://doi.org/10.26599/TST.2022.9010066

643

Views

125

Downloads

1

Crossref

1

Web of Science

1

Scopus

0

CSCD

Altmetrics
Received: 06 December 2022
Accepted: 20 December 2022
Published: 19 May 2023
© The author(s) 2023.

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).
Return