Linkage Projects - Grant ID: LP160101885

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/LP160101885

Funding Status
Closed

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Funded Activity Summary

Intruder alert! detecting and classifying events in noisy time series. This project aims to address the mathematical challenges in automated early detection and classification of intrusion events in noisy time series generated from perimeter security systems. The project expects to develop robust methods to detect intrusion events under different operating environments while ignoring nuisance events. The project will boost the global competitiveness of the Australian security industry, and enable improved event detection and classification in noisy time series to the benefit of many critical application areas beyond national security.

Funded Activity Details

Start Date: 06-09-2017

End Date: 06-09-2019

Funding Scheme: Linkage Projects

Funding Amount: $204,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Applied Statistics | Pattern Recognition and Data Mining | Statistics

ANZSRC Socio-Economic Objective (SEO)

Emerging Defence Technologies | National Security |

Other Keywords

Applied Statistics | Emerging Defence Technologies | National Security | Pattern Recognition and Data Mining | Statistics

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