Image Authentication Application with Blockchain to Prevent and Detect Image Plagiarism

Andi, Carles Juliandy, Robet Robet, Octara Pribadi, Robby Wijaya
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引用次数: 2

Abstract

Plagiarism was an act that made a disadvantage for the author because of the use of other people’s work or ideas without mentioning any credit. Especially for image plagiarism cause disadvantage for the author’s income because in this internet era many image authors sold their work for income. The previous research proposed the model that combined DCT hash and Blockchain, but this research didn’t conduct the plagiarism area of the image, so we proposed our model that combined DCT hash and Blockchain to prevent and detect plagiarism images. Our contribution for this research is to prevent plagiarism through the initial authentication process and then to detect image plagiarism on pixel-by-pixel of the image for more accurate plagiarism detection. Blockchain technology also prevented any change to data that was already stored in the Blockchain network, so it can prevent any change to image data and can prevent plagiarism attempts. With this proposed model, we got 100% accuracy for detecting images as plagiarism or not plagiarism. The results of testing the speed of the model on 100 different types of images show the speed of the model in displaying conclusions is 47.90 seconds. We also added some improvement areas for future research.
基于区块链的图像认证应用,防止和检测图像剽窃
抄袭是一种对作者不利的行为,因为使用了他人的作品或想法而没有提及任何功劳。尤其是图片抄袭给作者的收入带来了不利的影响,因为在这个互联网时代,许多图片作者为了收入而出卖了自己的作品。之前的研究提出了DCT哈希和区块链相结合的模型,但本研究没有对图像的抄袭区域进行处理,所以我们提出了DCT哈希和区块链相结合的模型来防止和检测抄袭图像。我们在本研究中的贡献是通过最初的认证过程来防止剽窃,然后逐像素地检测图像剽窃,从而更准确地检测剽窃。区块链技术还可以防止对已经存储在区块链网络中的数据进行任何更改,因此它可以防止对图像数据的任何更改,并可以防止剽窃企图。在此模型下,我们对图像是否抄袭的检测准确率达到100%。在100张不同类型的图片上测试了模型的显示速度,结果表明模型显示结论的速度为47.90秒。我们还为未来的研究增加了一些改进的地方。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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