Daniel Stamate
A general model for the answer-pertubation techniques.
Stamate, Daniel; Luchian, Henri; Paechter, Ben
Abstract
Answer-perturbation techniques for the protection
of statistical databases were introduced in [7]; they
are flexible (perturbation kept under control),
modular (do not interact with the DBMS)
techniques, which compare fmorably to previous
protection techniques. In this paper, we generalise
the answer-perturbation techniques w. r. t. the
operation used for modifying the exact answers
(thus enhancing the level of protection).
Experimental results are also included; they
indicate statistical soundness of our techniques.
Citation
Stamate, D., Luchian, H., & Paechter, B. (1994, September). A general model for the answer-pertubation techniques
Start Date | Sep 28, 1994 |
---|---|
End Date | Sep 30, 1994 |
Publication Date | 1994 |
Deposit Date | Jul 30, 2010 |
Publicly Available Date | Jul 30, 2010 |
Peer Reviewed | Peer Reviewed |
Pages | 90-96 |
Book Title | Proceedings of the 7th International Conference on Scientific and Statistical Database Management Systems |
ISBN | 0-1234-5678-2 |
DOI | https://doi.org/10.1109/SSDM.1994.336958 |
Keywords | Answer-perturbation techniques; protection; statistical databases; |
Public URL | http://researchrepository.napier.ac.uk/id/eprint/3202 |
Contract Date | Jul 30, 2010 |
Files
A General Model For The Answer-pertubation Techniques
(483 Kb)
PDF
You might also like
Accelerating neural network architecture search using multi-GPU high-performance computing
(2022)
Journal Article
A Cross-Domain Method for Generation of Constructive and Perturbative Heuristics
(2021)
Book Chapter
A Lifelong Learning Hyper-heuristic Method for Bin Packing
(2015)
Journal Article
Introduction to the special section on pervasive adaptation
(2012)
Journal Article
Downloadable Citations
About Edinburgh Napier Research Repository
Administrator e-mail: repository@napier.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search