Mimir: Term-Distributed Indexing and Search for Secret Documents

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Provided by: Wuhan Institute of Technology Network and Information Center
Topic: Big Data
Format: PDF
In order to access sensitive documents shared over government, army and enterprise intranets, users rely on an indexing facility where they can quickly locate relevant documents they are allowed to access, without leaking information about the remaining documents, without imposing large load on the receptionist, and with a balanced load on the index servers. To address this problem, the authors propose Mimir, a distributed cipher retrieval system for sensitive documents. Mimir constructs the distributed indexes based on load balanced term distribution for better search efficiency and load balanced query.
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