Mimir: Term-Distributed Indexing and Search for Secret Documents
出版社：
- 会议名称：The 6th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom 2010)
- 举办地点：Chicago， IL,USA
- 举办日期：October 9-12，2010
- 页数：
摘要内容：
In order to access sensitive documents shared overgovernment, army and enterprise intranets, users rely on an in-dexing facility where they can quickly locate relevant documentsthey are allowed to access, (1) without leaking information aboutthe remaining documents, (2) without imposing large load on thereceptionist, and (3) with a balanced load on the index servers.To address this problem, we propose Mimir, a distributed cipherretrieval system for sensitive documents. Mimir constructs thedistributed indexes based on load balanced term distributionfor better search ef?ciency and load balanced query. Mimirutilizes encryption with random key, partial key update, andaccess control based on role and user to protect sensitive dataand improve query ef?ciency. Mimir uses dynamic pipelinedsearch strategy to balance the load of the management serverand reduce the search delay. Our experiments show that Mimircan effectively protect secret data and answer queries nearly asfast as an ordinary inverted index.
关键词：
- ciphertext retrieval system；index；search；term distribution；encryption
