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Volume 6 Issue 3

Efficient Tree Pattern Queries On Encrypted XML Documents

Fang-Yu Rao^(a),(*), Jianneng Cao^(b), Mehmet Kuzu^(c), Elisa Bertino^(a), Murat Kantarcioglu^(c)

Transactions on Data Privacy 6:3 (2013) 199 - 226

Abstract, PDF

(a) Department of Computer Science/CERIAS; Purdue University; West Lafayette; IN 47906 USA.

(b) Institute for Infocomm Research; 1 Fusionopolis Way; Singapore 138632.

(c) Department of Computer Science; University of Texas at Dallas; Richardson; TX 75080 USA.

e-mail:raof @purdue.edu; ; ; ;

Abstract

Outsourcing XML documents is a challenging task, because it encrypts the documents, while still requiring efficient query processing. Past approaches on this topic either leak structural information or fail to support searching that has constraints on XML node content. To address these problems, we present a solution for efficient evaluation of tree pattern queries (TPQs) on encrypted XML documents. We create a domain hierarchy, such that each XML document can be embedded in it. By assigning each node in the hierarchy a position, we create for each document a vector, which encodes both the structural and textual information about the document. Similarly, a vector is created also for a TPQ. Then, the matching between a TPQ and a document is reduced to calculating the distance between their vectors. For the sake of privacy, such vectors are encrypted before being outsourced. To improve the matching efficiency, we use a k-d tree to partition the vectors into non-overlapping subsets, such that non-matchable documents are pruned as early as possible. The extensive evaluation shows that our solution is efficient and scalable to large dataset.

^* Corresponding author.