On-line data protecting via pseudo random binary sequences

Authors:
Xu Huang;Allan C. Madoc;Dharmendra Sharma
Affiliations:
School of Information Sciences and Engineering, University of Canberra, Canberra, Australia;School of Information Sciences and Engineering, University of Canberra, Canberra, Australia;School of Information Sciences and Engineering, University of Canberra, Canberra, Australia
Venue:
CEA'07 Proceedings of the 2007 annual Conference on International Conference on Computer Engineering and Applications
Year:
2007

Citing 11
Cited 0

Security-control methods for statistical databases: a comparative study

ACM Computing Surveys (CSUR)
A modified random perturbation method for database security

ACM Transactions on Database Systems (TODS)
Security in computing

Security in computing
Security of random data perturbation methods

ACM Transactions on Database Systems (TODS)
The statistical security of a statistical database

ACM Transactions on Database Systems (TODS)
Interval Protection of Confidential Information in a Database

INFORMS Journal on Computing
The Security of Confidential Numerical Data in Databases

Information Systems Research
Confidentiality via Camouflage: The CVC Approach to Disclosure Limitation When Answering Queries to Databases

Operations Research
Image Noise Removal in Nakagami Fading Channels via Bayesian Estimator

DELTA '06 Proceedings of the Third IEEE International Workshop on Electronic Design, Test and Applications
New Approaches to Disclosure Limitation While Answering Queries to a Database: Protecting Numerical Confidential Data against Insider Threat Based on Data or Algorithms

HICSS '06 Proceedings of the 39th Annual Hawaii International Conference on System Sciences - Volume 06
Private Markets for Public Goods: Pricing Strategies of Online Database Vendors

Journal of Management Information Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

there has recently been a great focus from research projects towards providing unlimited, correct, numerical responses to ad-hoc queries to an on-line database, while not compromising confidential numerical data. Unlike traditional random data perturbation (RDP), a new approach titled pseudo random binary sequences covered RDP is carefully established. It will be also demonstrated how numerical confidential data can be protected against insider threat based on data in this paper. As an application of our method, an online medical survey database is, as a case study, described, which can be easily extended to other application fields, such as e-government, e-commerce, etc.