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Grant Award View - GA281579
Knowledge Graph-driven Software Vulnerability Risk Discovery and...
GA ID:
GA281579
Agency:
Australian Research Council
Approval Date:
19-Jan-2023
Publish Date:
1-Feb-2023
Category:
Humanities, Arts and Social Sciences (HASS) Research
Grant Term:
19-Jan-2023 to 31-Dec-2025
Value (AUD):
$450,000.00
(GST inclusive where applicable)
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 22/23 Discovery
Grant Program:
Discovery Projects
Grant Activity:
Knowledge Graph-driven Software Vulnerability Risk Discovery and Assessment
Purpose:
This project aims to alleviate cyberattacks which are increasingly being crafted to attack software vulnerabilities and weaknesses by utilising advanced knowledge graphs and deep learning techniques. This project expects to construct an innovative software vulnerability knowledge graph and develop advanced graph-based algorithms and models. Expected outcomes of this project include the enhanced capacity to defend against cyberattacks for both organisations and individuals in Australia and beyond, theory development in graph theory, refined graph neural network models and improved graph transfer learning algorithms.
GO ID:
GO Title:
Discovery Projects for funding commencing in 2023
Internal Reference ID:
DP23 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
La Trobe University
Recipient ABN:
64 804 735 113
Grant Recipient Location
Suburb:
BUNDOORA
Town/City:
BUNDOORA
Postcode:
3086
State/Territory:
VIC
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
VIC
Postcode:
3086
Country:
AUSTRALIA