Modeling of Image Copyright Protection using Discrete Cosine Transform Hash and Blockchain

Carles Juliandy, Ronsen Purba, Roni Yunis, Darwin

Abstract

Protecting copyright is an important issue because now such works as an image can be sold online for making income. With the rapid development of distribution media, a centralized management system cannot protect copyrights properly. Because now some research about image plagiarism can detect image modification as plagiarism, but cannot detect rotated image as plagiarism. Application of Discrete Cosine Transform (DCT) hash with adding looping steps can detect rotated images as plagiarism. Uploaded image we looped it rotate 22,5â—‹ and saved the hash value from DCT hash each time rotate until 180â—‹ and then compare each hash with the first hash to get the rotating plagiarism image. After that, a combination with Blockchain which is a decentralized management system is a solution to protect copyrights now, with the application of Blockchain and digital signature, making it difficult for other people to make changes to the data which is stored in the block. This research results showed that the use of DCT hash can reach accuracy until 99,67% to detect rotating image as plagiarism, and the mining time of the Blockchain with 10.000 blocks and difficulty target 5 needed 1591204,671 seconds

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Paper Citation


in Harvard Style

Juliandy C., Purba R., Yunis R. and Darwin. (2020). Modeling of Image Copyright Protection using Discrete Cosine Transform Hash and Blockchain.In Proceedings of the International Conference on Culture Heritage, Education, Sustainable Tourism, and Innovation Technologies - Volume 1: CESIT, ISBN 978-989-758-501-2, pages 128-134. DOI: 10.5220/0010304601280134


in Bibtex Style

@conference{cesit20,
author={Carles Juliandy and Ronsen Purba and Roni Yunis and Darwin},
title={Modeling of Image Copyright Protection using Discrete Cosine Transform Hash and Blockchain},
booktitle={Proceedings of the International Conference on Culture Heritage, Education, Sustainable Tourism, and Innovation Technologies - Volume 1: CESIT,},
year={2020},
pages={128-134},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010304601280134},
isbn={978-989-758-501-2},
}


in EndNote Style

TY - CONF

JO - Proceedings of the International Conference on Culture Heritage, Education, Sustainable Tourism, and Innovation Technologies - Volume 1: CESIT,
TI - Modeling of Image Copyright Protection using Discrete Cosine Transform Hash and Blockchain
SN - 978-989-758-501-2
AU - Juliandy C.
AU - Purba R.
AU - Yunis R.
AU - Darwin.
PY - 2020
SP - 128
EP - 134
DO - 10.5220/0010304601280134