Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/63415
Title: Towards a Practical Auditing Method for the Prevention of Statistical Database Compromise
Contributor(s): Brankovic, Ljiljana  (author)orcid ; Miller, Mirka (author); Siran, Jozef (author)
Publication Date: 1996-01
Handle Link: https://hdl.handle.net/1959.11/63415
Abstract: 

In this paper we consider the applicability of an auditing method for preventing a statistical database compromise. In 1982 Chin and Oszoyoglu proposed Audit Expert for the prevention of database compromise using SUM queries. As originally proposed, Audit Expert was meant to be used dynamically and it was considered suitable only for small databases. In the static mode Audit Expert is much more efficient both in the storage and time required and so can be used for large databases as well as small ones. Moreover, in static mode it is possible to achieve maximum usability of the database. However, sometimes this will prevent the system from answering queries which are particularly important. In this paper we consider the inclusion of a limited number of user-posed queries and its impact on the usability. Then we say that the Audit Expert is used in a hybrid mode. We prove that mazimising usability in a general hybrid Audit Expert is NP-complete and isolate certain restricted cases when maximising usability is polynomial.

Publication Type: Conference Publication
Conference Details: ADC 1996: Seventh Australasian Database Conference (ADC'96), Melbourne, Australia, 29th -30th January, 1996
Source of Publication: Proceedings of the Seventh Australasian Database Conference (ADC'96), Australian Computer Science Communications, 18(2), p. 177-184
Publisher: Australian Computer Science Communications
Place of Publication: Australia
ISSN: 0157-3055
Fields of Research (FoR) 2020: 460402 Data and information privacy
490404 Combinatorics and discrete mathematics (excl. physical combinatorics)
Socio-Economic Objective (SEO) 2020: 220405 Cybersecurity
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
Appears in Collections:Conference Publication
School of Science and Technology

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