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Grant Award View - GA215067
Betrayed by Apps: Automated, Scalable Detection of Mobile App...
GA ID:
GA215067
Agency:
Australian Research Council
Approval Date:
21-Jan-2022
Publish Date:
25-Jan-2022
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
1-Jul-2022 to 30-Jun-2025
Original: 21-Jan-2022 to 31-Dec-2024
Value (AUD):
$405,000.00
(GST inclusive where applicable)
Variations:
- GA215067-V1 - Variation to Grant (4-Jul-2023 )
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 21/22 Discovery
Grant Program:
Discovery Projects
Grant Activity:
Betrayed by Apps: Automated, Scalable Detection of Mobile App Malpractices
Purpose:
This project aims to develop a novel framework to detect content and privacy malpractices perpetrated by thousands of mobile apps. It will use innovative models and algorithms to achieve unprecedented levels of automation and scalability, making it possible for the first time to identify compliance violations across the global app ecosystem. Outcomes will include a knowledge base of prevalent app malpractices, detection algorithms, and a software framework for scalable app analysis. New evidence and tools will benefit both Australian and global policymakers and regulators in combating malpractices, users in identifying safe mobile apps for themselves, and local and global app market stakeholders in being more diligent about compliance.
GO ID:
GO Title:
Discovery Projects for funding commencing in 2022
Internal Reference ID:
DP22 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