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With fast paced growth of digital data, keyword based search has become a critical enterprise application. Research has shown that nearly 85% of enterprise data lies in flat filesystems that allow multiple users with different access privileges. Any search tool for such systems needs to be efficient and yet cognizant of access control semantics imposed by the underlying filesystem. Current enterprise search techniques use two disjoint search and access control components by creating a single system-wide index and filtering search results for access control. This approach is ineffective as index and query statistics subtly leak private information.
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