Discovery Projects - Grant ID: DP0346541

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/API/grants/DP0346541

Funding Status
Closed

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Funded Activity Summary

Network Intrusion Detection via Machine Learning. Computer security is an increasingly important, yet complex task. It takes significant skills to configure systems properly such that they are safe from malicious attacks. The proposed project aims at designing automatic systems which are able to adapt to an existing network configuration and which detect novel and unusual events. For this purpose we will use modern machine learning techniques, mainly based on kernels. In particular, recently developed algorithms to estimate the support of a distribution and detect rare events will be employed in this context. The project is in cooperation with Dr. Ralf Herbrich (Microsoft Research, Cambridge).

Funded Activity Details

Start Date: 2003

End Date: 12-2005

Funding Scheme: Discovery Projects

Funding Amount: $167,213.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Knowledge Representation And Machine Learning | Artificial Intelligence and Image Processing | Pattern Recognition | Computer Communications Networks

ANZSRC Socio-Economic Objective (SEO)

Information processing services | Network transmission equipment |

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