政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/149887
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    题名: Anonymous and Unlinkable Identity Scheme in Open Data Environment
    作者: 曾一凡
    Tseng, Yi-Fan;Huang, Jheng-Jia;Chen, Guan-Yu;Wang, Wei-Hsueh;Chang Chien, Hao-Hsiang;Dai, Wen-Yan;Lo, Nai-Wei
    贡献者: 資訊系
    关键词: Blockchain;Open Data;Anonymity;Global Ledger
    日期: 2023-08
    上传时间: 2024-02-16 15:36:59 (UTC+8)
    摘要: In the 21st century, the massive spread of information on the internet has led to the development of social media as we know it. However, with the vast amount of information being transmitted every day, information misuse by hackers or unknown adversaries has become a major problem. The accessibility of information to a larger audience makes it easier to expose society to the threat of misinformation and fake news. False information is the most common example of information misuse and can cause social harm by leading to misunderstandings or creating a false sense of reality. These information security problems have motivated us to develop a scheme that not only identifies whether the information is fake or not but also protects the privacy and personal information of the information provider. By implementing our proposed scheme into the existing social media platform, we aim to reduce the influence of disinformation on the government. The key concept of this platform is to prevent information abuse, tampering, and retrieval, and to defend the information and news that the publisher wants to convey while protecting their sensitive identity. Ultimately, our proposed scheme aims to facilitate the communication of information and the publication of laws and regulations by ensuring that the information being transmitted is accurate and reliable.
    關聯: 18th Asia Joint Conference on Information Security (AsiaJCIS), National Institute of Information and Communications Technology
    数据类型: conference
    DOI 連結: https://doi.org/10.1109/AsiaJCIS60284.2023.00022
    DOI: 10.1109/AsiaJCIS60284.2023.00022
    显示于类别:[資訊科學系] 會議論文

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