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Grant Award View - GA29148-V1
Energy big data analytics from a cybersecurity perspective
GA ID:
GA29148-V1
Agency:
Australian Research Council
Approval Date:
27-Nov-2018
Variation Publish Date:
23-Jun-2020
Variation Date:
23-Jun-2020
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
31-May-2019 to 30-May-2023
Value (AUD):
$385,000.00
(GST inclusive where applicable)
Varies:
GA29148
- Energy big data analytics from a cybersecurity perspective
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 18/19 Discovery
Grant Program:
Discovery Projects
Grant Activity:
Energy big data analytics from a cybersecurity perspective
Purpose:
This project aims to develop a framework on energy big data analytics from security and privacy perspectives. Unlike other big data analytics such as social network big data analytics, energy big data analytics involve research challenges on how to cope with real-time tight cyber-physical couplings, and security/safety of the smart grid system. This project will develop advanced data-driven algorithms that are capable of detecting coordinated cyber-attacks that will potentially lead to catastrophic cascaded failures; and develop new solutions in detecting the false data-injection attacks that are conventionally considered as unobservable. This project will provide the benefit of enhancing our national critical infrastructure's security.
GO ID:
GO Title:
Discovery Projects commencing in 2019
Internal Reference ID:
DP19 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
The University of New South Wales
Recipient ABN:
57 195 873 179
Grant Recipient Location
Suburb:
KENSINGTON
Town/City:
KENSINGTON
Postcode:
2033
State/Territory:
NSW
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
NSW
Postcode:
2033
Country:
AUSTRALIA