去中心化网络的常年语义数据使用条款

ArXiv Pub Date : 2024-03-12 DOI:10.1145/3589334.3645631
Rui Zhao, Jun Zhao
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引用次数: 0

摘要

在当今的数字环境中,网络变得越来越集中,引发了对侵犯用户隐私的担忧。Solid 等去中心化网络架构提供了一个很有前景的解决方案,使用户能够更好地控制其个人 "Pods "中的数据。然而,一个巨大的挑战依然存在:用户必须浏览众多应用程序,以决定哪个应用程序可以信任地访问其数据 "Pod"。这通常需要阅读冗长而复杂的使用条款协议,而用户往往对这一过程望而生畏或干脆置之不理。这损害了用户的自主性,并阻碍了对数据滥用的检测。我们提出了一种新颖的数据使用条款(DToU)形式描述,以及一个 DToU 推理器。用户和应用程序利用本地知识指定自己的 DToU 政策部分,包括权限、要求、禁令和义务。自动推理验证合规性,并推导出输出数据的政策。这就构成了一种 "常年 "的 DToU 语言,在这种语言中,策略编写只发生一次,我们可以跨用户、应用程序和活动周期进行持续的自动检查。我们的解决方案基于 Turtle、Notation 3 和 RDF Surfaces,用于语言和推理引擎。它可确保与其他语义工具无缝集成,从而增强互操作性。我们已成功地将这种语言集成到 Solid 框架中,并进行了性能基准测试。我们相信,这项工作证明了多年来的 DToU 语言的实用性,以及在分散式网络中用户与数据和应用程序交互方式的范式转变潜力,从而提供更好的隐私性和可用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Perennial Semantic Data Terms of Use for Decentralized Web
In today's digital landscape, the Web has become increasingly centralized, raising concerns about user privacy violations. Decentralized Web architectures, such as Solid, offer a promising solution by empowering users with better control over their data in their personal `Pods'. However, a significant challenge remains: users must navigate numerous applications to decide which application can be trusted with access to their data Pods. This often involves reading lengthy and complex Terms of Use agreements, a process that users often find daunting or simply ignore. This compromises user autonomy and impedes detection of data misuse. We propose a novel formal description of Data Terms of Use (DToU), along with a DToU reasoner. Users and applications specify their own parts of the DToU policy with local knowledge, covering permissions, requirements, prohibitions and obligations. Automated reasoning verifies compliance, and also derives policies for output data. This constitutes a ``perennial'' DToU language, where the policy authoring only occurs once, and we can conduct ongoing automated checks across users, applications and activity cycles. Our solution is built on Turtle, Notation 3 and RDF Surfaces, for the language and the reasoning engine. It ensures seamless integration with other semantic tools for enhanced interoperability. We have successfully integrated this language into the Solid framework, and conducted performance benchmark. We believe this work demonstrates a practicality of a perennial DToU language and the potential of a paradigm shift to how users interact with data and applications in a decentralized Web, offering both improved privacy and usability.
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