ITR - (ASE+NHS) - (DMC+INT+SOC): Resilient Storage and Querying in Decentralized Networks

拟议工作的目标是为在完全非结构化、分散和分布式网络上启用丰富的应用程序集奠定基础。最近，在对等系统的背景下，一些不同的研究应用程序被构建在类似的平台上。虽然这些研究系统提供了巨大的前景，但我们认为，要在这些系统上构建可部署的应用程序，还需要做大量的工作。这项工作的动机是这一领域的公开问题，并被组织为三个主要推动力：(1)布局和查找算法，对一系列对抗性故障模型具有健壮性，但是-与例如分布式哈希表相比-不需要或假定底层网络拓扑上的任何结构；(2)用于在非结构化环境中复杂地查询P2P命名空间的高效和弹性技术；以及(3)允许对等点显式地将个人信任和隐私策略合并到协议操作中的方法。这项工作包括四个应用程序：(1)特别公钥基础设施；(2)稳健的分布式数据搜索和查询应用程序；(3)抗审查的出版应用程序；以及(4)高效特别访问科学数据集的应用程序。每个应用程序都是重要的构建块，执行我们拟议工作的不同方面，并直接推动科学、工程和国家安全方面的最新水平。它们共同构成了这一项目下进行的研究的一组令人信服的鼓舞人心的例子。

The goal of the proposed work is to build a foundation for enabling a rich set of applications on entirely unstructured, decentralized, and distributed networks. Recently, a number of different research applications have been built on similar platforms in the context of peer-to-peer systems. While these research systems offer great promise, we believe significant work is required in order to build deployable applications over these systems. This work is motivated by the open issues in this area, and is organized into three major thrusts: (1) placement and lookup algorithms that are robust against a range of adversarial failure models, and yet - in contrast to, e.g., DHTs - do not require or assume any structure on the underlying network topology; (2) efficient and resilient techniques for sophisticated querying of P2P namespaces in unstructured environments; and (3) methods that allow peers to explicitly incorporate individual trust and privacy policies into protocol actions. The work is terms of four applications: (1) an ad-hoc public key infrastructure; (2) a robust search and query application for distributed data; (3) a censorship-resistant publishing application; and (4) an application for efficient ad-hoc access to scientific datasets.Individually, each of these applications are important building blocks that exercise different aspects of our proposed work, and directly advance the state of the art in the sciences, engineering, and national security. Together, they form a compelling set of motivating examples for the research to be conducted under this project.