Discovery Projects - Grant ID: DP150104871

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/API/grants/DP150104871

Funding Status
Closed

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Funded Activity Summary

Privacy-Preserving Classification for Big-Data Driven Network Traffic. Protecting sensitive information in large network traffic flows while ensuring data usability for classification emerges as a critical problem of increasing significance. Existing techniques do not work on highly heterogeneous traffic from big-data applications for both privacy protection and classification (such as port-based and load- based methods). This project investigates new theories, methods and techniques for solving this problem. It proposes to develop a set of effective methods for privacy-preserving data publication through combining randomisation with anonymisation, and for classifying the published data through uncertainty leveraging by probabilistic reasoning and accuracy lifting by inter-flow correlation analysis and active learning.

Funded Activity Details

Start Date: 06-2015

End Date: 12-2020

Funding Scheme: Discovery Projects

Funding Amount: $340,300.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Information Systems | Information Systems Management | Computer System Security |

ANZSRC Socio-Economic Objective (SEO)

Information Processing Services (incl. Data Entry and Capture) | Application Tools and System Utilities

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