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

所提议的工作的目标是为在完全非结构化的、分散的和分布式的网络上启用丰富的应用程序集建立一个基础。最近，在点对点系统的背景下，许多不同的研究应用程序已经建立在类似的平台上。虽然这些研究系统提供了巨大的希望，但我们认为，为了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。这项工作的动机是该领域的开放问题，并被组织成三个主要方向：(1)对一系列对抗性失效模型具有鲁强性的放置和查找算法，然而-与dht相比-不需要或假设底层网络拓扑结构；(2)非结构化环境下P2P命名空间复杂查询的高效弹性技术；(3)允许对等体显式地将个人信任和隐私策略合并到协议操作中的方法。这项工作涉及四个方面的应用：(1)一个特别的公钥基础设施；(2)分布式数据的鲁棒搜索和查询应用；（三）抗审查的出版申请；(4)科学数据集的高效临时访问应用。单独地说，这些应用程序中的每一个都是重要的构建块，它们行使了我们提出的工作的不同方面，并直接推进了科学、工程和国家安全领域的最新技术。总之，他们形成了一套引人注目的激励的例子，研究在这个项目下进行。

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.