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Ownership protection system for partial areas on image data using Ethereum blockchain

Natsuki Fujiwara¹ and Shohei Yokoyama¹

1. Department of Computer Science, Faculty of Systems Design
   Tokyo Metropolitan University, Tokyo, Japan
   fujiwara-natsuki@tmu.ac.jp, shohei@tmu.ac.jp

Abstract

Our proposed method utilizes blockchain technology to safeguard the ownership of specific regions within image data. In our approach, diverse values could be assigned to each region based on its importance, and only users with ownership rights can access these designated regions. This ensures the protection of ownership rights for individuals in any given region of an image. Identified regions are individually encrypted using an XOR cipher, and a corresponding key image is generated for decryption, thereby preserving the privacy of the encrypted region. Non-fungible tokens (NFTs) are employed to protect the key image and manage the ownership of each object in the image data. The NFT for the key image is generated by the key holder (who possesses the entire image), and the ownership NFT is acquired by the user who needs access to the key NFT. Furthermore, the ownership NFT and the key NFT are verified for a match by the judgment function, and only upon successful validation, the NFT is displayed on the screen. This method enables different values to be assigned to various parts of an image, facilitating the transfer and sharing of ownership. Additionally, the original image’s owner can benefit financially based on the value of the image, thus enhancing the overall security of image data.

Key words

Blockchain, Ownership, NFT

Digital Object Identifier (DOI)

https://doi.org/10.2298/CSIS230320061F

Publication information

Volume 20, Issue 4 (September 2023)
Year of Publication: 2023
ISSN: 2406-1018 (Online)
Publisher: ComSIS Consortium

Full text

Available in PDF
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How to cite

Fujiwara, N., Yokoyama, S.: Ownership protection system for partial areas on image data using Ethereum blockchain. Computer Science and Information Systems, Vol. 20, No. 4. (2023), https://doi.org/10.2298/CSIS230320061F