Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/63418
Title: Usability of k-compromise-free statistical databases
Contributor(s): Brankovic, Ljiljana  (author)orcid ; Miller, Mirka (author); Siran, Jozef (author)
Publication Date: 2000
Handle Link: https://hdl.handle.net/1959.11/63418
Abstract: 

A statistical database is said to be secure if no sensitive statistics are disclosed. An important problem in security of statistical databases is to maximize the number of disclosed statistics, while ensuring that the database is secure. In this paper we present a new result for the case of range queries and k-compromise in 1-dimensional statistical databases.

Publication Type: Conference Publication
Conference Details: AWOCA2000: Eleventh Australasian Workshop on Combinatorial Algorithms, Hunter Valley, Australia, 29th July - 1st August, 2000
Source of Publication: Proceedings of the Eleventh Australasian Workshop on Combinatorial Algorithms (AWOCA2000), p. 159-166
Publisher: The University of Newcastle
Place of Publication: Newcastle, Australia
Fields of Research (FoR) 2020: 490404 Combinatorics and discrete mathematics (excl. physical combinatorics)
460402 Data and information privacy
Socio-Economic Objective (SEO) 2020: 280115 Expanding knowledge in the information and computing sciences
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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