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Investigative journalists collect large numbers of digital documents duringtheir 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 theirsources. Consequently, many documents are used only for single, local,investigations.  We present DatashareNetwork, a decentralized and privacy-preserving searchsystem that enables journalists worldwide to find documents via a dedicatednetwork of peers. DatashareNetwork combines well-known anonymous authenticationmechanisms and anonymous communication primitives, a novel asynchronousmessaging system, and a novel multi-set private set intersection protocol(MS-PSI) into a *decentralized peer-to-peer private document search engine*. Weprove that DatashareNetwork is secure; and show using a prototypeimplementation that it scales to thousands of users and millions of documents.

DatashareNetwork: A Decentralized Privacy-Preserving Search Engine for Investigative Journalists