ted:走向去中心化网络的内容信任

Valentin Siegert, Arved Kirchhoff, M. Gaedke
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引用次数: 1

摘要

诸如SoLiD之类的Web再去中心化倡议旨在通过强制Web应用程序使用的数据的透明度来增强用户的隐私。然而,对于从第三方获取数据的Web应用程序来说,信任来自许多甚至隐藏方的数据是一个挑战。去中心化的web应用程序需要在不依赖中心化基础设施的情况下,自主评估信任并做出信任感知决策。虽然许多相关的信任模型考虑直接或基于声誉的信任来做出信任感知决策,但在分散的web应用程序中,由于潜在数据提供者的任意数量和信任的上下文性质,内容和上下文因素(称为内容信任)变得至关重要。此外,去中心化网络的动态性需要机器在协作环境中自主做出信任感知决策,而无需进一步的人为干预。为了应对这些挑战,我们提出了ConTED,这是一个内容信任评估框架,用于使分散的Web应用程序能够自主评估内容信任。我们还描述了体系结构概念,这使得为分散的Web应用程序集成内容信任模型变得可行。为了证明可行性,ConTED与aTLAS测试平台集成,aTLAS是一个基于web的测试平台,用于检查重新分散的网络的信任。最后,我们通过一系列实验对ConTED的可扩展性和准确性进行了评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ConTED: Towards Content Trust for the Decentralized Web
The initiatives for redecentralization of the Web such as SoLiD aim to enhance users’ privacy by enforcing transparency about the data used by Web applications. However, it is a challenge for a Web application acquiring data from third-party sources to trust data originating from many or even hidden parties. A decentralized web application requires to evaluate trust and take trust-aware decisions autonomously without relying on a centralized infrastructure. While many related trust models consider direct or reputation-based trust for making trust-aware decisions, in decentralized web applications content and context factors (called content trust) become critical due to the arbitrary number of potential data providers and the contextual nature of trust. Besides, the dynamic nature of the de-centralized web necessitates trust-aware decisions that are made autonomously by the machine in a collaborative environment without further human intervention. To address these challenges, we present ConTED, a content trust evaluation framework for enabling decentralized Web applications to evaluate content trust autonomously. We also describe the architecture concept, which makes it feasible to integrate content trust models for decentralized Web applications. To demonstrate the feasibility, ConTED is integrated with aTLAS testbed, a web-based test bed to examine trust for a redecentralized web. Finally, we evaluate ConTED in terms of scalability and accuracy through a set of experiments.
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