基於區塊鏈及社群互動關聯的創作內容追蹤平台;The design of creation project development tracking platform based on blockchain and social interaction

NCUIR > College of Electrical Engineering & Computer Science > Graduate Institute of Computer Science and Information Engineering > Electronic Thesis & Dissertation > Item 987654321/93080

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/93080

Title:	基於區塊鏈及社群互動關聯的創作內容追蹤平台;The design of creation project development tracking platform based on blockchain and social interaction
Authors:	曾羿淮;Tseng, Yi-Huai
Contributors:	資訊工程學系
Keywords:	區塊鏈;以太坊;blockchain;Ethereum
Date:	2023-07-13
Issue Date:	2024-09-19 16:41:08 (UTC+8)
Publisher:	國立中央大學
Abstract:	本研究提出了一個基於區塊鏈的創作內容追蹤平台，以區塊鏈去中心、不可竄改的固有優勢，讓使用者可以在創作過程中將新版本存檔定期上傳至此平台，留下創作過程的證據，希望可以解決版權、抄襲等爭議問題。在使用者上傳創作的存檔並公開後，可以藉由平台社群的力量，增加證據的可信度。本研究將透過實驗室學長學姊的論文來模擬論文的創作過程，展示如何透過此平台來記錄創作的過程。另外利用生成式AI生成圖片，並將人類之圖片創作記錄上傳至此平台，說明日後可以以此創作記錄作為判斷是否為人類所做的輔助依據。使用此平台儲存創作存檔時，若以公開的方式上傳敏感資料明顯是不合適的，故本平台將提供公開及不公開兩種方式上傳創作存檔，並比較兩種上傳方式的使用場景及差異性，說明如何在不公開的情形下確保證據得以保存，確保使用者資料的安全性。最後根據本實驗的結果也可以證實，使用此平台保存創作過程獲得保存，確保使用者的權益不受侵害。;This study proposes a blockchain-based creation project development tracking platform, leveraging the decentralized and tamper-proof advantages of blockchain technology. Users can regularly upload new versions of their creations to this platform during the creative process, leaving evidence of the creation process. The aim is to address issues such as copyright and plagiarism disputes. Once users upload their creative works and make them public, the credibility of the evidence can be enhanced through the power of the platform′s community. This research will simulate the process of creating a thesis using previous works as examples to demonstrate how this platform can be used to record the creation process. Additionally, using generative AI to create images and uploading records of the creative process of human-created images to this platform. In the future, this creation record can assist us in judging whether a picture is created by a human. Since publicly uploading sensitive data is clearly inappropriate, the platform provides two upload options: public and private. The study compares the use cases and differences between the two upload methods and explains how evidence can be preserved in private scenarios, ensuring the security of user data. Finally, based on the experimental results, it can be confirmed that using this platform to store the creation process provides evidence and safeguards the rights of the users from infringement.
Appears in Collections:	[Graduate Institute of Computer Science and Information Engineering] Electronic Thesis & Dissertation

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