Paper Info
Title
N-gram based secure similar document detection
Abstract
Secure similar document detection (SSDD) plays an important role in many applications, such as justifying the need-to-know basis and facilitating communication between government agencies. The SSDD problem considers situations where Alice with a query document wants to find similar information from Bob's document collection. During this process, the content of the query document is not disclosed to Bob, and Bob's document collection is not disclosed to Alice. Existing SSDD protocols are developed under the vector space model, which has the advantage of identifying global similar information. To effectively and securely detect similar documents with overlapping text fragments, this paper proposes a novel n-gram based SSDD protocol.
Year
DOI
Venue
2011
10.1007/978-3-642-22348-8_19
DBSec
Keywords
Field
DocType
important role,ssdd problem,secure similar document detection,similar document,query document,document collection,global similar information,ssdd protocol,government agency,similar information
World Wide Web,Information retrieval,Computer science,n-gram,Vector space model,Government
Conference
Volume
ISSN
Citations 
6818
0302-9743
9
PageRank 
References 
Authors
0.52
23
2
Name
Order
Citations
PageRank
Wei Jiang1953.57
Bharath K. Samanthula21058.54