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primary topic: Statistical analysis for comparison of the key representation database with the original database

Statistical analysis for comparison of the key representation database with the original database
type: AcademicArticle
type: Article
abstract: Statistical databases (SDBs) are used mainly for statistics, and individuals' information should remain secret. Key representation auditing scheme (KRAS) is proposed to guard individuals' confidentiality in online and dynamic SDBs. KRAS converts the original database into key representation database (KRDB) and each new query should be converted into key representation query. Three audit stages are proposed to guarantee the security of SDBs. Also, cost estimation for this scheme is performed, and we illustrate the savings in CPU time and storage space using KRDB. In this paper, we provide statistical analysis for comparison of original database with KRDB to compare between the means/variances of the original database and the KRDB populations. Comparisons are provided in terms of linear search, binary search and sorting. The results of the tests showed that the differences are statistically significant, except in one case, namely the differences between the variances in terms of binary search. Copyright © 2011 Inderscience Enterprises Ltd.
date: 2011
volume: 8
issue: 4
is part of: International Journal of Business Information Systems
status: peerReviewed
status: published
author list: authors
type: EPrint
type: ArticleEPrint
is part of: repository

Inderscience Publishers
type: Organization

International Journal of Business Information Systems
type: Collection
issn: 17460972

A.A. Elshiekh
type: Person
given name: A.A.
family name: Elshiekh

P.D.D. Dominic
type: Person
given name: P.D.D.
family name: Dominic

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primary topic: Statistical analysis for comparison of the key representation database with the original database