Website
http://dataportal.arc.gov.au/NCGP/API/grants/DP200102844
Funding Status
Active
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Funded Activity Summary
Preventing sensitive data exfiltration from insiders . Confidential data such as military secrets or intellectual property must never be disclosed outside the organisation; formally protecting data exfiltration from insider attacks is a major challenge. This project aims to develop a pattern matching based systematic methodology for data exfiltration in database systems. We will devise highly accurate detection tools and secure provenance techniques that can effectively protect against insider attacks. The outcomes of the project will incorporate new security constraints and policies raised by emerging technologies to enable better protection of sensitive information.Funded Activity Details
Start Date: 09-2020
End Date: 09-2023
Funding Scheme: Discovery Projects
Funding Amount: $480,000.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Computer Software | Computer System Security |
