论文标题
DataSharenetwork：调查记者的去中心化隐私搜索引擎
DatashareNetwork: A Decentralized Privacy-Preserving Search Engine for Investigative Journalists
论文作者
论文摘要
调查记者在调查过程中收集了大量数字文件。这些文件可以极大地使其他记者的工作受益。但是，其中许多文档都包含敏感信息。因此，拥有这样的文件会危害记者，他们的故事和他们的资料。因此，许多文档仅用于单个本地调查。 我们提出了DataSharenetwork，这是一种分散且保密的搜索系统，使全世界的记者能够通过专门的同行网络找到文档。 DataSharenetwork将著名的匿名身份验证机制和匿名通信原理结合在一起，新型异步消息传递系统以及一种新颖的多设定的私人私人套件相交协议（MS-PSI）中的 *分散的点对点私人文档搜索引擎 *。我们证明datasharenetwork是安全的；并使用原型实现显示，该实现将其扩展到成千上万的用户和数百万个文档。
Investigative journalists collect large numbers of digital documents during their investigations. These documents can greatly benefit other journalists' work. However, many of these documents contain sensitive information. Hence, possessing such documents can endanger reporters, their stories, and their sources. Consequently, many documents are used only for single, local, investigations. We present DatashareNetwork, a decentralized and privacy-preserving search system that enables journalists worldwide to find documents via a dedicated network of peers. DatashareNetwork combines well-known anonymous authentication mechanisms and anonymous communication primitives, a novel asynchronous messaging system, and a novel multi-set private set intersection protocol (MS-PSI) into a *decentralized peer-to-peer private document search engine*. We prove that DatashareNetwork is secure; and show using a prototype implementation that it scales to thousands of users and millions of documents.
