Developing an efficient query system for encrypted XML documents

Tao Ku Chang; Gwan Hwan Hwang

doi:10.1016/j.jss.2011.04.012

Developing an efficient query system for encrypted XML documents

Tao Ku Chang^*, Gwan Hwan Hwang

^*Corresponding author for this work

Department of Computer Science and Information Engineering

Research output: Contribution to journal › Article › peer-review

6 Citations (Scopus)

Abstract

XQuery is a query and functional programming language that is designed for querying the data in XML documents. This paper addresses how to efficiently query encrypted XML documents using XQuery, with the key point being how to eliminate redundant decryption so as to accelerate the querying process. We propose a processing model that can automatically translate the XQuery statements for encrypted XML documents. The implementation and experimental results demonstrate the practicality of the proposed model.

Original language	English
Pages (from-to)	1292-1305
Number of pages	14
Journal	Journal of Systems and Software
Volume	84
Issue number	8
DOIs	https://doi.org/10.1016/j.jss.2011.04.012
Publication status	Published - 2011 Aug

Keywords

DSL
Security
XML
XQuery

ASJC Scopus subject areas

Software
Information Systems
Hardware and Architecture

Access to Document

10.1016/j.jss.2011.04.012

Cite this

@article{0132eee77b2d47cfa32ec8a78edb4e1f,

title = "Developing an efficient query system for encrypted XML documents",

abstract = "XQuery is a query and functional programming language that is designed for querying the data in XML documents. This paper addresses how to efficiently query encrypted XML documents using XQuery, with the key point being how to eliminate redundant decryption so as to accelerate the querying process. We propose a processing model that can automatically translate the XQuery statements for encrypted XML documents. The implementation and experimental results demonstrate the practicality of the proposed model.",

keywords = "DSL, Security, XML, XQuery",

author = "Chang, {Tao Ku} and Hwang, {Gwan Hwan}",

note = "Funding Information: T.K. Chang's and G.H. Hwang's work were supported in part by the ROC National Science Council under grant 98-2221-E-259-011 . ",

year = "2011",

month = aug,

doi = "10.1016/j.jss.2011.04.012",

language = "English",

volume = "84",

pages = "1292--1305",

journal = "Journal of Systems and Software",

issn = "0164-1212",

publisher = "Elsevier Inc.",

number = "8",

}

TY - JOUR

T1 - Developing an efficient query system for encrypted XML documents

AU - Chang, Tao Ku

AU - Hwang, Gwan Hwan

N1 - Funding Information: T.K. Chang's and G.H. Hwang's work were supported in part by the ROC National Science Council under grant 98-2221-E-259-011 .

PY - 2011/8

Y1 - 2011/8

N2 - XQuery is a query and functional programming language that is designed for querying the data in XML documents. This paper addresses how to efficiently query encrypted XML documents using XQuery, with the key point being how to eliminate redundant decryption so as to accelerate the querying process. We propose a processing model that can automatically translate the XQuery statements for encrypted XML documents. The implementation and experimental results demonstrate the practicality of the proposed model.

AB - XQuery is a query and functional programming language that is designed for querying the data in XML documents. This paper addresses how to efficiently query encrypted XML documents using XQuery, with the key point being how to eliminate redundant decryption so as to accelerate the querying process. We propose a processing model that can automatically translate the XQuery statements for encrypted XML documents. The implementation and experimental results demonstrate the practicality of the proposed model.

KW - DSL

KW - Security

KW - XML

KW - XQuery

UR - http://www.scopus.com/inward/record.url?scp=79958011019&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79958011019&partnerID=8YFLogxK

U2 - 10.1016/j.jss.2011.04.012

DO - 10.1016/j.jss.2011.04.012

M3 - Article

AN - SCOPUS:79958011019

SN - 0164-1212

VL - 84

SP - 1292

EP - 1305

JO - Journal of Systems and Software

JF - Journal of Systems and Software

IS - 8

ER -

Developing an efficient query system for encrypted XML documents

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this