[Cite as http://purl.org/au-research/grants/arc/DP160100913]
Researchers Prof Mirka Miller; Prof Jennifer Seberry; Prof Xun Yi; A/Prof Leanne Rylands; Prof Dr Josep Domingo-Ferrer
Brief description The project aims to contribute to the development of techniques to allow the harvesting of useful information without compromising personal privacy. Intelligent analysis of personal data can reveal valuable knowledge about a population but at a risk of invading an individual's privacy. This project aims to provide at least partial solutions to some of the problems associated with the protection of private data. In particular, it plans to work on the problem of security of statistical databases and privacy of streaming data. This would be underpinned by a study of anonymisation and homomorphic encryption. The expected outcomes are new theoretical results, new algorithms and protocols applicable to at least some of the current significant problems in information security.
Funding Amount $435,000
Funding Scheme Discovery Projects