eprintid: 688
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/06/88
datestamp: 2023-11-09 15:48:50
lastmod: 2023-11-09 15:48:50
status_changed: 2023-11-09 15:22:58
type: conference_item
metadata_visibility: show
creators_name: Elshiekh, A.A.
creators_name: Dominic, P.D.D.
title: Three audit stages for securing statistical databases
ispublished: pub
keywords: Accurate response; Auditing; Compromise; Confidentiality; CPU time; Query tables; Statistical database; Statistical information; Statistical queries; Storage spaces; User query, Database systems; Information management, Population statistics
note: cited By 4; Conference of 2009 International Conference on Information Management and Engineering, ICIME 2009 ; Conference Date: 3 April 2009 Through 5 April 2009; Conference Code:77334
abstract: A statistical databases (SDBs) are used mainly for statistical queries (such as sum, average, count, etc) on various populations. Users are permitted to retrieve statistical information, but information about specific individual should not be disclosed. The key representation auditing scheme is proposed to protect online and dynamic SDBs from being disclosed. The core idea is to convert the original database D into key representation database D\, and each new user query q should be converted from string representation into key representation query q\ and stored in the Audit Query table (AQ table). We propose three audit stages to repel the attacks of the snooper to the confidentiality of the individuals. These stages enable the key representation auditor (KRA) to conveniently specify the illegal queries which could lead to disclosing the SDB. The proposed scheme that will be applied guarantees the security of SDBs and provides precise and accurate responses, besides it needs less CPU time and storage space during query processing. © 2009 IEEE.
date: 2009
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-70349501912&doi=10.1109%2fICIME.2009.83&partnerID=40&md5=91cc558929d248711af5c47cfe5e316c
id_number: 10.1109/ICIME.2009.83
full_text_status: none
publication: Proceedings - 2009 International Conference on Information Management and Engineering, ICIME 2009
place_of_pub: Kuala Lumpur
pagerange: 283-286
refereed: TRUE
isbn: 9780769535951
citation:   Elshiekh, A.A. and Dominic, P.D.D.  (2009) Three audit stages for securing statistical databases.  In: UNSPECIFIED.