A processing model for the optimal querying of encrypted XML documents in XQuery

Tao Ku Chang*, Gwan Hwan Hwang

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)

Abstract

XQuery is a powerful and convenient language that is designed for querying the data in XML documents. In this paper, we address how to optimally query encrypted XML documents using XQuery, with the key point being how to eliminate redundant decryption so as to accelerate the querying. We propose a processing model that can automatically and appropriately translate the XQuery statements for encrypted XML documents. Furthermore, we show that XML schema is significantly associated with queries over XML documents. The implementation and experimental results demonstrate the practicality of the proposed model.

Original languageEnglish
Pages (from-to)43-51
Number of pages9
JournalConferences in Research and Practice in Information Technology Series
Volume63
Publication statusPublished - 2007
Event18th Australasian Database Conference, ADC 2007 - Ballarat, VIC, Australia
Duration: 2007 Jan 302007 Feb 2

Keywords

  • DSL
  • Database
  • Security
  • XML
  • XQuery

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture
  • Information Systems
  • Software

Fingerprint

Dive into the research topics of 'A processing model for the optimal querying of encrypted XML documents in XQuery'. Together they form a unique fingerprint.

Cite this